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You searched for subject:(Parameter estimation). Showing records 1 – 29 of 29 total matches.

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University of Manchester

1. Regulski, Pawel Adam. Estimation of parameters of dynamic load models for voltage stability studies.

Degree: PhD, 2012, University of Manchester

 Current environmental and economic trends have forced grid operators to maximize the utilization of the existing assets, which is causing systems to be operated closer… (more)

Subjects/Keywords: 621.319; Load Modelling; Parameter Estimation

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APA (6th Edition):

Regulski, P. A. (2012). Estimation of parameters of dynamic load models for voltage stability studies. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/estimation-of-parameters-of-dynamic-load-models-for-voltage-stabily-studies(db6176e0-c7df-4ad6-83f7-5772eb9f8421).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559343

Chicago Manual of Style (16th Edition):

Regulski, Pawel Adam. “Estimation of parameters of dynamic load models for voltage stability studies.” 2012. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/estimation-of-parameters-of-dynamic-load-models-for-voltage-stabily-studies(db6176e0-c7df-4ad6-83f7-5772eb9f8421).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559343.

MLA Handbook (7th Edition):

Regulski, Pawel Adam. “Estimation of parameters of dynamic load models for voltage stability studies.” 2012. Web. 17 Aug 2019.

Vancouver:

Regulski PA. Estimation of parameters of dynamic load models for voltage stability studies. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Aug 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/estimation-of-parameters-of-dynamic-load-models-for-voltage-stabily-studies(db6176e0-c7df-4ad6-83f7-5772eb9f8421).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559343.

Council of Science Editors:

Regulski PA. Estimation of parameters of dynamic load models for voltage stability studies. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/estimation-of-parameters-of-dynamic-load-models-for-voltage-stabily-studies(db6176e0-c7df-4ad6-83f7-5772eb9f8421).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559343


Brunel University

2. Koutsourelis, Antonios. Bayesian extreme quantile regression for hidden Markov models.

Degree: PhD, 2012, Brunel University

 The main contribution of this thesis is the introduction of Bayesian quantile regression for hidden Markov models, especially when we have to deal with extreme… (more)

Subjects/Keywords: 519.2; MCMC methods,; Statistical analysis; Parameter estimation.

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APA (6th Edition):

Koutsourelis, A. (2012). Bayesian extreme quantile regression for hidden Markov models. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945

Chicago Manual of Style (16th Edition):

Koutsourelis, Antonios. “Bayesian extreme quantile regression for hidden Markov models.” 2012. Doctoral Dissertation, Brunel University. Accessed August 17, 2019. http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945.

MLA Handbook (7th Edition):

Koutsourelis, Antonios. “Bayesian extreme quantile regression for hidden Markov models.” 2012. Web. 17 Aug 2019.

Vancouver:

Koutsourelis A. Bayesian extreme quantile regression for hidden Markov models. [Internet] [Doctoral dissertation]. Brunel University; 2012. [cited 2019 Aug 17]. Available from: http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945.

Council of Science Editors:

Koutsourelis A. Bayesian extreme quantile regression for hidden Markov models. [Doctoral Dissertation]. Brunel University; 2012. Available from: http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945


University of Oxford

3. Hlozek, Renee Alexandra. Probing the early universe and dark energy with multi-epoch cosmological data.

Degree: PhD, 2012, University of Oxford

 Contemporary cosmology is a vibrant field, with data and observations increasing rapidly. This allows for accurate estimation of the parameters describing our cosmological model. In… (more)

Subjects/Keywords: 523.1; Astrophysics; Cosmology; parameter estimation; observational

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APA (6th Edition):

Hlozek, R. A. (2012). Probing the early universe and dark energy with multi-epoch cosmological data. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:37eb7f80-e7c0-41a4-a3a7-0e59f50abbf3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560926

Chicago Manual of Style (16th Edition):

Hlozek, Renee Alexandra. “Probing the early universe and dark energy with multi-epoch cosmological data.” 2012. Doctoral Dissertation, University of Oxford. Accessed August 17, 2019. http://ora.ox.ac.uk/objects/uuid:37eb7f80-e7c0-41a4-a3a7-0e59f50abbf3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560926.

MLA Handbook (7th Edition):

Hlozek, Renee Alexandra. “Probing the early universe and dark energy with multi-epoch cosmological data.” 2012. Web. 17 Aug 2019.

Vancouver:

Hlozek RA. Probing the early universe and dark energy with multi-epoch cosmological data. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2019 Aug 17]. Available from: http://ora.ox.ac.uk/objects/uuid:37eb7f80-e7c0-41a4-a3a7-0e59f50abbf3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560926.

Council of Science Editors:

Hlozek RA. Probing the early universe and dark energy with multi-epoch cosmological data. [Doctoral Dissertation]. University of Oxford; 2012. Available from: http://ora.ox.ac.uk/objects/uuid:37eb7f80-e7c0-41a4-a3a7-0e59f50abbf3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560926


Brunel University

4. Li, Wei. Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications.

Degree: PhD, 2010, Brunel University

 Mobile wireless positioning has recently received great attention. For mobile wireless communication networks, an inherently suitable approach is to obtain the parameters that are used… (more)

Subjects/Keywords: 621.382; Joint channel parameter estimation; Mobile positioning; Evolutionary algoriths

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APA (6th Edition):

Li, W. (2010). Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7764 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582882

Chicago Manual of Style (16th Edition):

Li, Wei. “Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications.” 2010. Doctoral Dissertation, Brunel University. Accessed August 17, 2019. http://bura.brunel.ac.uk/handle/2438/7764 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582882.

MLA Handbook (7th Edition):

Li, Wei. “Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications.” 2010. Web. 17 Aug 2019.

Vancouver:

Li W. Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications. [Internet] [Doctoral dissertation]. Brunel University; 2010. [cited 2019 Aug 17]. Available from: http://bura.brunel.ac.uk/handle/2438/7764 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582882.

Council of Science Editors:

Li W. Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications. [Doctoral Dissertation]. Brunel University; 2010. Available from: http://bura.brunel.ac.uk/handle/2438/7764 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582882

5. Regulski, Pawel Adam. Estimation of Parameters of Dynamic Load Models for Voltage Stabily Studies.

Degree: 2012, University of Manchester

 Current environmental and economic trends have forced grid operators to maximize the utilization of the existing assets, which is causing systems to be operated closer… (more)

Subjects/Keywords: Load Modelling; Parameter Estimation

parameter estimation for these models is more challenging. Traditionally, the Nonlinear Least… …problems tackled in the thesis. It gives a short overview of parameter estimation for a… …Faculty of Engineering and Physical Science PhD Thesis Estimation of Parameters of Dynamic Load… …presents a review of the traditional methods for estimation of load model parameters and proposes… …data captured in a power system. Estimation of frequency and power components has also been… 

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APA (6th Edition):

Regulski, P. A. (2012). Estimation of Parameters of Dynamic Load Models for Voltage Stabily Studies. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:166227

Chicago Manual of Style (16th Edition):

Regulski, Pawel Adam. “Estimation of Parameters of Dynamic Load Models for Voltage Stabily Studies.” 2012. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:166227.

MLA Handbook (7th Edition):

Regulski, Pawel Adam. “Estimation of Parameters of Dynamic Load Models for Voltage Stabily Studies.” 2012. Web. 17 Aug 2019.

Vancouver:

Regulski PA. Estimation of Parameters of Dynamic Load Models for Voltage Stabily Studies. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Aug 17]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:166227.

Council of Science Editors:

Regulski PA. Estimation of Parameters of Dynamic Load Models for Voltage Stabily Studies. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:166227


University of Cambridge

6. Yildirim, Sinan. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.

Degree: PhD, 2013, University of Cambridge

 Time series models are used to characterise uncertainty in many real-world dynamical phenomena. A time series model typically contains a static variable, called parameter, which… (more)

Subjects/Keywords: 519.5; Sequential Monte Carlo; Parameter estimation; Bayesian statistics

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APA (6th Edition):

Yildirim, S. (2013). Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/244707 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590211

Chicago Manual of Style (16th Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.” 2013. Doctoral Dissertation, University of Cambridge. Accessed August 17, 2019. https://www.repository.cam.ac.uk/handle/1810/244707 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590211.

MLA Handbook (7th Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.” 2013. Web. 17 Aug 2019.

Vancouver:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. [Internet] [Doctoral dissertation]. University of Cambridge; 2013. [cited 2019 Aug 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/244707 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590211.

Council of Science Editors:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. [Doctoral Dissertation]. University of Cambridge; 2013. Available from: https://www.repository.cam.ac.uk/handle/1810/244707 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590211


University of Manchester

7. Alana, Jorge Enrique. Optimal measurement locations for parameter estimation of distributed parameter systems.

Degree: PhD, 2011, University of Manchester

 Identifying the parameters with the largest influence on the predicted outputs of a model revealswhich parameters need to be known more precisely to reduce the… (more)

Subjects/Keywords: 660.2832; Optimal measurement locations; parameter estimation; optimal experiment design; distributed parameter system; proper orthogonal decomposition; sensitivity coefficients

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APA (6th Edition):

Alana, J. E. (2011). Optimal measurement locations for parameter estimation of distributed parameter systems. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/optimal-measurement-locations-for-parameter-estimation-of-distributed-parameter-systems(fffa31d8-2b19-434b-a2b6-7809e314bb55).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538497

Chicago Manual of Style (16th Edition):

Alana, Jorge Enrique. “Optimal measurement locations for parameter estimation of distributed parameter systems.” 2011. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/optimal-measurement-locations-for-parameter-estimation-of-distributed-parameter-systems(fffa31d8-2b19-434b-a2b6-7809e314bb55).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538497.

MLA Handbook (7th Edition):

Alana, Jorge Enrique. “Optimal measurement locations for parameter estimation of distributed parameter systems.” 2011. Web. 17 Aug 2019.

Vancouver:

Alana JE. Optimal measurement locations for parameter estimation of distributed parameter systems. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Aug 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/optimal-measurement-locations-for-parameter-estimation-of-distributed-parameter-systems(fffa31d8-2b19-434b-a2b6-7809e314bb55).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538497.

Council of Science Editors:

Alana JE. Optimal measurement locations for parameter estimation of distributed parameter systems. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/optimal-measurement-locations-for-parameter-estimation-of-distributed-parameter-systems(fffa31d8-2b19-434b-a2b6-7809e314bb55).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538497


University of Manchester

8. Alana, Jorge Enrique. OPTIMAL MEASUREMENT LOCATIONS FOR PARAMETER ESTIMATION OF DISTRIBUTED PARAMETER SYSTEMS.

Degree: 2011, University of Manchester

 Identifying the parameters with the largest influence on the predicted outputs of a model revealswhich parameters need to be known more precisely to reduce the… (more)

Subjects/Keywords: Optimal measurement locations; parameter estimation; optimal experiment design; distributed parameter system; proper orthogonal decomposition; sensitivity coefficients

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APA (6th Edition):

Alana, J. E. (2011). OPTIMAL MEASUREMENT LOCATIONS FOR PARAMETER ESTIMATION OF DISTRIBUTED PARAMETER SYSTEMS. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:121890

Chicago Manual of Style (16th Edition):

Alana, Jorge Enrique. “OPTIMAL MEASUREMENT LOCATIONS FOR PARAMETER ESTIMATION OF DISTRIBUTED PARAMETER SYSTEMS.” 2011. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:121890.

MLA Handbook (7th Edition):

Alana, Jorge Enrique. “OPTIMAL MEASUREMENT LOCATIONS FOR PARAMETER ESTIMATION OF DISTRIBUTED PARAMETER SYSTEMS.” 2011. Web. 17 Aug 2019.

Vancouver:

Alana JE. OPTIMAL MEASUREMENT LOCATIONS FOR PARAMETER ESTIMATION OF DISTRIBUTED PARAMETER SYSTEMS. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Aug 17]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:121890.

Council of Science Editors:

Alana JE. OPTIMAL MEASUREMENT LOCATIONS FOR PARAMETER ESTIMATION OF DISTRIBUTED PARAMETER SYSTEMS. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:121890


Loughborough University

9. Fysikopoulos, Dimitrios. Model-based optimization of batch and continuous crystallization processes.

Degree: PhD, 2018, Loughborough University

 Crystallization is an important separation process, extensively used in most chemical industries and especially in pharmaceutical manufacturing, either as a method of production or as… (more)

Subjects/Keywords: Multi-dimensional population balance modelling; Attainable regions; Parameter estimability; Variance-based sensitivity analysis; Sequential orthogonalization; Parameter estimation; Crystal growth modifiers

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APA (6th Edition):

Fysikopoulos, D. (2018). Model-based optimization of batch and continuous crystallization processes. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/37211 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771263

Chicago Manual of Style (16th Edition):

Fysikopoulos, Dimitrios. “Model-based optimization of batch and continuous crystallization processes.” 2018. Doctoral Dissertation, Loughborough University. Accessed August 17, 2019. https://dspace.lboro.ac.uk/2134/37211 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771263.

MLA Handbook (7th Edition):

Fysikopoulos, Dimitrios. “Model-based optimization of batch and continuous crystallization processes.” 2018. Web. 17 Aug 2019.

Vancouver:

Fysikopoulos D. Model-based optimization of batch and continuous crystallization processes. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Aug 17]. Available from: https://dspace.lboro.ac.uk/2134/37211 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771263.

Council of Science Editors:

Fysikopoulos D. Model-based optimization of batch and continuous crystallization processes. [Doctoral Dissertation]. Loughborough University; 2018. Available from: https://dspace.lboro.ac.uk/2134/37211 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771263


University of Oxford

10. Raman, Dhruva Venkita. On the identifiability of highly parameterised models of physical processes.

Degree: PhD, 2016, University of Oxford

 This thesis is concerned with drawing out high-level insight from otherwise complex mathematical models of physical processes. This is achieved through detailed analysis of model… (more)

Subjects/Keywords: 519.5; Parameter estimation; Parameter Identifiability; Optimal Control; Convex Optimisation; Covariance quantification; Structural Unidentifiability; Practical Unidentifiability; Region-of-attraction analysis

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APA (6th Edition):

Raman, D. V. (2016). On the identifiability of highly parameterised models of physical processes. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:f58aa335-db0a-495b-8eef-1ddb363cbd19 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730341

Chicago Manual of Style (16th Edition):

Raman, Dhruva Venkita. “On the identifiability of highly parameterised models of physical processes.” 2016. Doctoral Dissertation, University of Oxford. Accessed August 17, 2019. https://ora.ox.ac.uk/objects/uuid:f58aa335-db0a-495b-8eef-1ddb363cbd19 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730341.

MLA Handbook (7th Edition):

Raman, Dhruva Venkita. “On the identifiability of highly parameterised models of physical processes.” 2016. Web. 17 Aug 2019.

Vancouver:

Raman DV. On the identifiability of highly parameterised models of physical processes. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2019 Aug 17]. Available from: https://ora.ox.ac.uk/objects/uuid:f58aa335-db0a-495b-8eef-1ddb363cbd19 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730341.

Council of Science Editors:

Raman DV. On the identifiability of highly parameterised models of physical processes. [Doctoral Dissertation]. University of Oxford; 2016. Available from: https://ora.ox.ac.uk/objects/uuid:f58aa335-db0a-495b-8eef-1ddb363cbd19 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730341


University of Bradford

11. Bradley, William John. Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only.

Degree: PhD, 2013, University of Bradford

 Induction motors (IM) find widespread use in modern industry and for this reason they have been subject to a significant amount of research interest in… (more)

Subjects/Keywords: 621.46; Condition based maintenance, Induction motor, Fault detection and diagnosis, Parameter estimation, Fuzzy logic, Modelling, Speed estimation

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APA (6th Edition):

Bradley, W. J. (2013). Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/7265

Chicago Manual of Style (16th Edition):

Bradley, William John. “Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only.” 2013. Doctoral Dissertation, University of Bradford. Accessed August 17, 2019. http://hdl.handle.net/10454/7265.

MLA Handbook (7th Edition):

Bradley, William John. “Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only.” 2013. Web. 17 Aug 2019.

Vancouver:

Bradley WJ. Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only. [Internet] [Doctoral dissertation]. University of Bradford; 2013. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10454/7265.

Council of Science Editors:

Bradley WJ. Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only. [Doctoral Dissertation]. University of Bradford; 2013. Available from: http://hdl.handle.net/10454/7265


Cranfield University

12. Jameson, Pierre-Daniel. Post-manoeuvre and online parameter estimation for manned and unmanned aircraft.

Degree: 2013, Cranfield University

 Parameterised analytical models that describe the trimmed inflight behaviour of classical aircraft have been studied and are widely accepted by the flight dynamics community. Therefore,… (more)

Subjects/Keywords: UAV; Flight Dynamics; Online; Least Squares; Frequency Domain; Parameter Estimation; System Identification

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APA (6th Edition):

Jameson, P. (2013). Post-manoeuvre and online parameter estimation for manned and unmanned aircraft. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/8058 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.585430

Chicago Manual of Style (16th Edition):

Jameson, Pierre-Daniel. “Post-manoeuvre and online parameter estimation for manned and unmanned aircraft.” 2013. Doctoral Dissertation, Cranfield University. Accessed August 17, 2019. http://dspace.lib.cranfield.ac.uk/handle/1826/8058 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.585430.

MLA Handbook (7th Edition):

Jameson, Pierre-Daniel. “Post-manoeuvre and online parameter estimation for manned and unmanned aircraft.” 2013. Web. 17 Aug 2019.

Vancouver:

Jameson P. Post-manoeuvre and online parameter estimation for manned and unmanned aircraft. [Internet] [Doctoral dissertation]. Cranfield University; 2013. [cited 2019 Aug 17]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8058 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.585430.

Council of Science Editors:

Jameson P. Post-manoeuvre and online parameter estimation for manned and unmanned aircraft. [Doctoral Dissertation]. Cranfield University; 2013. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8058 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.585430


Cranfield University

13. Jameson, Pierre-Daniel. Post-manoeuvre and online parameter estimation for manned and unmanned aircraft.

Degree: PhD, 2013, Cranfield University

 Parameterised analytical models that describe the trimmed inflight behaviour of classical aircraft have been studied and are widely accepted by the flight dynamics community. Therefore,… (more)

Subjects/Keywords: UAV; Flight Dynamics; Online; Least Squares; Frequency Domain; Parameter Estimation; System Identification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jameson, P. (2013). Post-manoeuvre and online parameter estimation for manned and unmanned aircraft. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/8058

Chicago Manual of Style (16th Edition):

Jameson, Pierre-Daniel. “Post-manoeuvre and online parameter estimation for manned and unmanned aircraft.” 2013. Doctoral Dissertation, Cranfield University. Accessed August 17, 2019. http://dspace.lib.cranfield.ac.uk/handle/1826/8058.

MLA Handbook (7th Edition):

Jameson, Pierre-Daniel. “Post-manoeuvre and online parameter estimation for manned and unmanned aircraft.” 2013. Web. 17 Aug 2019.

Vancouver:

Jameson P. Post-manoeuvre and online parameter estimation for manned and unmanned aircraft. [Internet] [Doctoral dissertation]. Cranfield University; 2013. [cited 2019 Aug 17]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8058.

Council of Science Editors:

Jameson P. Post-manoeuvre and online parameter estimation for manned and unmanned aircraft. [Doctoral Dissertation]. Cranfield University; 2013. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8058


Loughborough University

14. Antong, Hasmawati P. Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation.

Degree: PhD, 2017, Loughborough University

 This thesis is concerned with developing a control and condition monitoring system for a class of fault tolerant actuators with high levels of redundancy. The… (more)

Subjects/Keywords: Fuzzy logic inference; High redundancy actuator; H-infinity controller; Least-squares parameter estimation; Model-based condition monitoring

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APA (6th Edition):

Antong, H. P. (2017). Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/32792 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740213

Chicago Manual of Style (16th Edition):

Antong, Hasmawati P. “Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation.” 2017. Doctoral Dissertation, Loughborough University. Accessed August 17, 2019. https://dspace.lboro.ac.uk/2134/32792 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740213.

MLA Handbook (7th Edition):

Antong, Hasmawati P. “Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation.” 2017. Web. 17 Aug 2019.

Vancouver:

Antong HP. Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation. [Internet] [Doctoral dissertation]. Loughborough University; 2017. [cited 2019 Aug 17]. Available from: https://dspace.lboro.ac.uk/2134/32792 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740213.

Council of Science Editors:

Antong HP. Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation. [Doctoral Dissertation]. Loughborough University; 2017. Available from: https://dspace.lboro.ac.uk/2134/32792 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740213


University of Manchester

15. Yap, Chuan Fu. Accelerated Construction of Kinetic Models for Cell Metabolism.

Degree: 2019, University of Manchester

 The use of mathematical models is enriching biological research, as it allows biologists to learn how the different components within a biological system interact, leading… (more)

Subjects/Keywords: Systems Biology; Cell Metabolism; Kinetic Models; Parameter Estimation; Computational Biology; Trehalose; Mathematical Model; Bioinformatics; Glycolysis; Saccharomyces cerevisiae; Genetic Algorithm

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APA (6th Edition):

Yap, C. F. (2019). Accelerated Construction of Kinetic Models for Cell Metabolism. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318015

Chicago Manual of Style (16th Edition):

Yap, Chuan Fu. “Accelerated Construction of Kinetic Models for Cell Metabolism.” 2019. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318015.

MLA Handbook (7th Edition):

Yap, Chuan Fu. “Accelerated Construction of Kinetic Models for Cell Metabolism.” 2019. Web. 17 Aug 2019.

Vancouver:

Yap CF. Accelerated Construction of Kinetic Models for Cell Metabolism. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2019 Aug 17]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318015.

Council of Science Editors:

Yap CF. Accelerated Construction of Kinetic Models for Cell Metabolism. [Doctoral Dissertation]. University of Manchester; 2019. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318015

16. Yildirim, Sinan. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo .

Degree: 2013, University of Cambridge

 Time series models are used to characterise uncertainty in many real-world dynamical phenomena. A time series model typically contains a static variable, called parameter, which… (more)

Subjects/Keywords: Sequential Monte Carlo; Parameter estimation; Bayesian statistics

…35 vii 3 Hidden Markov Models and Parameter Estimation 3.1 Introduction… …3.4 Static parameter estimation in HMMs . . . . . . . . . . . . . . . . . . . 55 56 58… …Parameter estimation . . . . . . . . . . . . . . . . . . . . . . . . . Approximate Bayesian… …computation for parameter estimation . . Outline of the chapter… …Section 3.3. 1.1.3 Online parameter estimation For the case when the true value of the static… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Yildirim, S. (2013). Maximum likelihood parameter estimation in time series models using sequential Monte Carlo . (Thesis). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/244707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo .” 2013. Thesis, University of Cambridge. Accessed August 17, 2019. http://www.dspace.cam.ac.uk/handle/1810/244707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo .” 2013. Web. 17 Aug 2019.

Vancouver:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo . [Internet] [Thesis]. University of Cambridge; 2013. [cited 2019 Aug 17]. Available from: http://www.dspace.cam.ac.uk/handle/1810/244707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo . [Thesis]. University of Cambridge; 2013. Available from: http://www.dspace.cam.ac.uk/handle/1810/244707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

17. Yap, Chuan Fu. Accelerated construction of kinetic models for cell metabolism.

Degree: PhD, 2019, University of Manchester

 The use of mathematical models is enriching biological research, as it allows biologists to learn how the different components within a biological system interact, leading… (more)

Subjects/Keywords: Bioinformatics; Mathematical Model; Genetic Algorithm; Glycolysis; Trehalose; Saccharomyces cerevisiae; Parameter Estimation; Kinetic Models; Cell Metabolism; Computational Biology; Systems Biology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yap, C. F. (2019). Accelerated construction of kinetic models for cell metabolism. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/accelerated-construction-of-kinetic-models-for-cell-metabolism(3e1e3b96-ad16-43e1-91fa-14ea056cb886).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771544

Chicago Manual of Style (16th Edition):

Yap, Chuan Fu. “Accelerated construction of kinetic models for cell metabolism.” 2019. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/accelerated-construction-of-kinetic-models-for-cell-metabolism(3e1e3b96-ad16-43e1-91fa-14ea056cb886).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771544.

MLA Handbook (7th Edition):

Yap, Chuan Fu. “Accelerated construction of kinetic models for cell metabolism.” 2019. Web. 17 Aug 2019.

Vancouver:

Yap CF. Accelerated construction of kinetic models for cell metabolism. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2019 Aug 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/accelerated-construction-of-kinetic-models-for-cell-metabolism(3e1e3b96-ad16-43e1-91fa-14ea056cb886).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771544.

Council of Science Editors:

Yap CF. Accelerated construction of kinetic models for cell metabolism. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/accelerated-construction-of-kinetic-models-for-cell-metabolism(3e1e3b96-ad16-43e1-91fa-14ea056cb886).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771544


University of Oxford

18. Bizeray, Adrien. State and parameter estimation of physics-based lithium-ion battery models.

Degree: PhD, 2016, University of Oxford

 This thesis investigates novel algorithms for enabling the use of first-principle electrochemical models for battery monitoring and control in advanced battery management systems (BMSs). Specifically,… (more)

Subjects/Keywords: Lithium ion batteries; parameter estimation; state estimation; Chebyshev orthogonal collocation; extended Kalman filter; lithium-ion battery; single particle model; pseudo-two dimensional model; electrochemical modelling; identifiabilility

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APA (6th Edition):

Bizeray, A. (2016). State and parameter estimation of physics-based lithium-ion battery models. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:f326b332-b912-4bf6-a9b3-d5e61d3a9596 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.735895

Chicago Manual of Style (16th Edition):

Bizeray, Adrien. “State and parameter estimation of physics-based lithium-ion battery models.” 2016. Doctoral Dissertation, University of Oxford. Accessed August 17, 2019. https://ora.ox.ac.uk/objects/uuid:f326b332-b912-4bf6-a9b3-d5e61d3a9596 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.735895.

MLA Handbook (7th Edition):

Bizeray, Adrien. “State and parameter estimation of physics-based lithium-ion battery models.” 2016. Web. 17 Aug 2019.

Vancouver:

Bizeray A. State and parameter estimation of physics-based lithium-ion battery models. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2019 Aug 17]. Available from: https://ora.ox.ac.uk/objects/uuid:f326b332-b912-4bf6-a9b3-d5e61d3a9596 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.735895.

Council of Science Editors:

Bizeray A. State and parameter estimation of physics-based lithium-ion battery models. [Doctoral Dissertation]. University of Oxford; 2016. Available from: https://ora.ox.ac.uk/objects/uuid:f326b332-b912-4bf6-a9b3-d5e61d3a9596 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.735895


University of Oxford

19. Wallman, Kaj Mikael Joakim. Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting.

Degree: PhD, 2013, University of Oxford

 Cardiovascular disease is the primary cause of death globally. Although this group encompasses a heterogeneous range of conditions, many of these diseases are associated with… (more)

Subjects/Keywords: 616.1; Biology and other natural sciences (mathematics); Mathematical biology; Partial differential equations; Probability theory and stochastic processes; Cardiovascular disease; Probability; cardiac simulations; Bayesian inference; parameter estimation; cardiac electrophysiology

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APA (6th Edition):

Wallman, K. M. J. (2013). Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211

Chicago Manual of Style (16th Edition):

Wallman, Kaj Mikael Joakim. “Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting.” 2013. Doctoral Dissertation, University of Oxford. Accessed August 17, 2019. http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211.

MLA Handbook (7th Edition):

Wallman, Kaj Mikael Joakim. “Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting.” 2013. Web. 17 Aug 2019.

Vancouver:

Wallman KMJ. Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2019 Aug 17]. Available from: http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211.

Council of Science Editors:

Wallman KMJ. Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211


University of Bradford

20. Jarullah, Aysar Talib. Kinetic modelling simulation and optimal operation of trickle bed reactor for hydrotreating of crude oil : kinetic parameters estimation of hydrotreating reactions in trickle Bbed reactor (TBR) via pilot plant experiments : optimal design and operation of an industrial TBR with heat integration and economic evaluation.

Degree: PhD, 2011, University of Bradford

 Catalytic hydrotreating (HDT) is a mature process technology practiced in the petroleum refining industries to treat oil fractions for the removal of impurities (such as… (more)

Subjects/Keywords: 622; Hydrodesulfurization; Hydrodenitrogenation; Hydrodemetallization; Hydrodeasphaltenization; Oil upgrading; Trickle-bed reactor; Mathematical modelling; Parameter estimation; Quench process; Heat integration; Catalytic hydrotreating (HDT); Crude oil; Distillates; Kinetic modelling

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APA (6th Edition):

Jarullah, A. T. (2011). Kinetic modelling simulation and optimal operation of trickle bed reactor for hydrotreating of crude oil : kinetic parameters estimation of hydrotreating reactions in trickle Bbed reactor (TBR) via pilot plant experiments : optimal design and operation of an industrial TBR with heat integration and economic evaluation. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5363

Chicago Manual of Style (16th Edition):

Jarullah, Aysar Talib. “Kinetic modelling simulation and optimal operation of trickle bed reactor for hydrotreating of crude oil : kinetic parameters estimation of hydrotreating reactions in trickle Bbed reactor (TBR) via pilot plant experiments : optimal design and operation of an industrial TBR with heat integration and economic evaluation.” 2011. Doctoral Dissertation, University of Bradford. Accessed August 17, 2019. http://hdl.handle.net/10454/5363.

MLA Handbook (7th Edition):

Jarullah, Aysar Talib. “Kinetic modelling simulation and optimal operation of trickle bed reactor for hydrotreating of crude oil : kinetic parameters estimation of hydrotreating reactions in trickle Bbed reactor (TBR) via pilot plant experiments : optimal design and operation of an industrial TBR with heat integration and economic evaluation.” 2011. Web. 17 Aug 2019.

Vancouver:

Jarullah AT. Kinetic modelling simulation and optimal operation of trickle bed reactor for hydrotreating of crude oil : kinetic parameters estimation of hydrotreating reactions in trickle Bbed reactor (TBR) via pilot plant experiments : optimal design and operation of an industrial TBR with heat integration and economic evaluation. [Internet] [Doctoral dissertation]. University of Bradford; 2011. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10454/5363.

Council of Science Editors:

Jarullah AT. Kinetic modelling simulation and optimal operation of trickle bed reactor for hydrotreating of crude oil : kinetic parameters estimation of hydrotreating reactions in trickle Bbed reactor (TBR) via pilot plant experiments : optimal design and operation of an industrial TBR with heat integration and economic evaluation. [Doctoral Dissertation]. University of Bradford; 2011. Available from: http://hdl.handle.net/10454/5363


University of Oxford

21. Morris, Graham Peter. Parameter recovery in AC solution-phase voltammetry and a consideration of some issues arising when applied to surface-confined reactions.

Degree: PhD, 2014, University of Oxford

 A major problem in the quantitative analysis of AC voltammetric data has been the variance in results between laboratories, often resulting from a reliance on… (more)

Subjects/Keywords: 541; Mathematics; Biology and other natural sciences (mathematics); Partial differential equations; Computational chemistry; Electrochemistry and electrolysis; voltammetry; AC voltammetry; electrochemistry; mathematical modelling; numerical solutions; inverse problems; parameter estimation

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APA (6th Edition):

Morris, G. P. (2014). Parameter recovery in AC solution-phase voltammetry and a consideration of some issues arising when applied to surface-confined reactions. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:1b1d40f3-ef1a-4f64-b500-17ce34630c43 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627856

Chicago Manual of Style (16th Edition):

Morris, Graham Peter. “Parameter recovery in AC solution-phase voltammetry and a consideration of some issues arising when applied to surface-confined reactions.” 2014. Doctoral Dissertation, University of Oxford. Accessed August 17, 2019. http://ora.ox.ac.uk/objects/uuid:1b1d40f3-ef1a-4f64-b500-17ce34630c43 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627856.

MLA Handbook (7th Edition):

Morris, Graham Peter. “Parameter recovery in AC solution-phase voltammetry and a consideration of some issues arising when applied to surface-confined reactions.” 2014. Web. 17 Aug 2019.

Vancouver:

Morris GP. Parameter recovery in AC solution-phase voltammetry and a consideration of some issues arising when applied to surface-confined reactions. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2019 Aug 17]. Available from: http://ora.ox.ac.uk/objects/uuid:1b1d40f3-ef1a-4f64-b500-17ce34630c43 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627856.

Council of Science Editors:

Morris GP. Parameter recovery in AC solution-phase voltammetry and a consideration of some issues arising when applied to surface-confined reactions. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:1b1d40f3-ef1a-4f64-b500-17ce34630c43 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627856


University of Stirling

22. Marmara, Vincent Anthony. Prediction of Infectious Disease outbreaks based on limited information.

Degree: PhD, 2016, University of Stirling

 The last two decades have seen several large-scale epidemics of international impact, including human, animal and plant epidemics. Policy makers face health challenges that require… (more)

Subjects/Keywords: Epidemiology; SEIR Model; Reproduction number; Influenza Forecasting; Early warning modelling; Influenza survey; Epidemiological modelling; Parameter estimation; Epidemiology; Influenza Epidemiology; Epidemiology Research Statistical methods.

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APA (6th Edition):

Marmara, V. A. (2016). Prediction of Infectious Disease outbreaks based on limited information. (Doctoral Dissertation). University of Stirling. Retrieved from http://hdl.handle.net/1893/24624

Chicago Manual of Style (16th Edition):

Marmara, Vincent Anthony. “Prediction of Infectious Disease outbreaks based on limited information.” 2016. Doctoral Dissertation, University of Stirling. Accessed August 17, 2019. http://hdl.handle.net/1893/24624.

MLA Handbook (7th Edition):

Marmara, Vincent Anthony. “Prediction of Infectious Disease outbreaks based on limited information.” 2016. Web. 17 Aug 2019.

Vancouver:

Marmara VA. Prediction of Infectious Disease outbreaks based on limited information. [Internet] [Doctoral dissertation]. University of Stirling; 2016. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1893/24624.

Council of Science Editors:

Marmara VA. Prediction of Infectious Disease outbreaks based on limited information. [Doctoral Dissertation]. University of Stirling; 2016. Available from: http://hdl.handle.net/1893/24624


Loughborough University

23. Schaal, Peter. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.

Degree: PhD, 2018, Loughborough University

 Characterisation of modern complex powertrains is a time consuming and expensive process. Little effort has been made to improve the efficiency of testing methodologies used… (more)

Subjects/Keywords: Air-path observer; Rapid engine characterisation; Dynamic/transient engine testing; Test time reduction; Joint state and parameter estimation; Unknown input estimation; Mean value engine model; 1-D engine model; Dynamic compensation; Dual-ramp averaging

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APA (6th Edition):

Schaal, P. (2018). Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972

Chicago Manual of Style (16th Edition):

Schaal, Peter. “Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.” 2018. Doctoral Dissertation, Loughborough University. Accessed August 17, 2019. https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972.

MLA Handbook (7th Edition):

Schaal, Peter. “Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.” 2018. Web. 17 Aug 2019.

Vancouver:

Schaal P. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Aug 17]. Available from: https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972.

Council of Science Editors:

Schaal P. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. [Doctoral Dissertation]. Loughborough University; 2018. Available from: https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972


University of Leicester

24. Li, Guangjie. Essays on economic and econometric applications of Bayesian estimation and model comparison.

Degree: PhD, 2009, University of Leicester

 This thesis consists of three chapters on economic and econometric applications of Bayesian parameter estimation and model comparison. The first two chapters study the incidental… (more)

Subjects/Keywords: 330.015195; model comparison model selection consistency in estimation incidental parameter problem Bayesian model averaging (BMA) Markov chain Monte Carlo (MCMC) dynamic panel data model with fixed effect, finance and growth seemingly unrelated regression (SUR) mode

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APA (6th Edition):

Li, G. (2009). Essays on economic and econometric applications of Bayesian estimation and model comparison. (Doctoral Dissertation). University of Leicester. Retrieved from http://hdl.handle.net/2381/4792

Chicago Manual of Style (16th Edition):

Li, Guangjie. “Essays on economic and econometric applications of Bayesian estimation and model comparison.” 2009. Doctoral Dissertation, University of Leicester. Accessed August 17, 2019. http://hdl.handle.net/2381/4792.

MLA Handbook (7th Edition):

Li, Guangjie. “Essays on economic and econometric applications of Bayesian estimation and model comparison.” 2009. Web. 17 Aug 2019.

Vancouver:

Li G. Essays on economic and econometric applications of Bayesian estimation and model comparison. [Internet] [Doctoral dissertation]. University of Leicester; 2009. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2381/4792.

Council of Science Editors:

Li G. Essays on economic and econometric applications of Bayesian estimation and model comparison. [Doctoral Dissertation]. University of Leicester; 2009. Available from: http://hdl.handle.net/2381/4792


University of Oxford

25. Knee, George C. Concepts and applications of quantum measurement.

Degree: PhD, 2014, University of Oxford

 In this thesis I discuss the nature of ‘measurement’ in quantum theory. ‘Measurement’ is associated with several different processes: the gradual imprinting of information about… (more)

Subjects/Keywords: 530.12; Quantum theory (mathematics); Philosophy of physics; Quantum information processing; Theoretical physics; Condensed matter theory; Atomic and laser physics; Africa; Leggett-Garg; Macrorealism; Weak value; Quantum theory; measurement; quantum measurement; weak measurement; null result measurement; venality; Fisher information; parameter estimation; amplification

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APA (6th Edition):

Knee, G. C. (2014). Concepts and applications of quantum measurement. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:2838a30b-302c-4fac-9e86-1ca452a88a83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604537

Chicago Manual of Style (16th Edition):

Knee, George C. “Concepts and applications of quantum measurement.” 2014. Doctoral Dissertation, University of Oxford. Accessed August 17, 2019. http://ora.ox.ac.uk/objects/uuid:2838a30b-302c-4fac-9e86-1ca452a88a83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604537.

MLA Handbook (7th Edition):

Knee, George C. “Concepts and applications of quantum measurement.” 2014. Web. 17 Aug 2019.

Vancouver:

Knee GC. Concepts and applications of quantum measurement. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2019 Aug 17]. Available from: http://ora.ox.ac.uk/objects/uuid:2838a30b-302c-4fac-9e86-1ca452a88a83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604537.

Council of Science Editors:

Knee GC. Concepts and applications of quantum measurement. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:2838a30b-302c-4fac-9e86-1ca452a88a83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604537


University of Cambridge

26. Higson, Edward John. Bayesian methods and machine learning in astrophysics.

Degree: PhD, 2019, University of Cambridge

 This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters… (more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Higson, E. J. (2019). Bayesian methods and machine learning in astrophysics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Chicago Manual of Style (16th Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Doctoral Dissertation, University of Cambridge. Accessed August 17, 2019. https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

MLA Handbook (7th Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Web. 17 Aug 2019.

Vancouver:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Aug 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

Council of Science Editors:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929


University of Cambridge

27. Hee, Sonke. Computational Bayesian techniques applied to cosmology.

Degree: PhD, 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

Chicago Manual of Style (16th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Doctoral Dissertation, University of Cambridge. Accessed August 17, 2019. https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Web. 17 Aug 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Aug 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549


University of Cambridge

28. Hee, Sonke. Computational Bayesian techniques applied to cosmology .

Degree: 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Thesis, University of Cambridge. Accessed August 17, 2019. https://www.repository.cam.ac.uk/handle/1810/273346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Web. 17 Aug 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology . [Internet] [Thesis]. University of Cambridge; 2018. [cited 2019 Aug 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology . [Thesis]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cambridge

29. Higson, Edward John. Bayesian Methods and Machine Learning in Astrophysics .

Degree: University of Cambridge

 This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters… (more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; error analysis; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Higson, E. J. (n.d.). Bayesian Methods and Machine Learning in Astrophysics . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Thesis, University of Cambridge. Accessed August 17, 2019. https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Web. 17 Aug 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Internet] [Thesis]. University of Cambridge; [cited 2019 Aug 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Thesis]. University of Cambridge; Available from: https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

.