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You searched for subject:(Mixture Model). Showing records 1 – 30 of 483 total matches.

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Penn State University

1. Wang, Hang. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification.

Degree: 2019, Penn State University

 My thesis research contains two parts of work. The first part of my work revisits a previous paper about Parsimonious Topic Model, and modifies the… (more)

Subjects/Keywords: Mixture Model; Transfer Learning; CNN

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APA (6th Edition):

Wang, H. (2019). Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16555hzw81

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):

Wang, Hang. “Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification.” 2019. Thesis, Penn State University. Accessed October 24, 2020. https://submit-etda.libraries.psu.edu/catalog/16555hzw81.

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

MLA Handbook (7th Edition):

Wang, Hang. “Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification.” 2019. Web. 24 Oct 2020.

Vancouver:

Wang H. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 24]. Available from: https://submit-etda.libraries.psu.edu/catalog/16555hzw81.

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

Council of Science Editors:

Wang H. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16555hzw81

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


Victoria University of Wellington

2. Neubauer, Philipp. Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation.

Degree: 2012, Victoria University of Wellington

 Connectivity between local populations is critical if these are to function as a metapopulation and sustain locally open sink populations. Assessing whether such connections between… (more)

Subjects/Keywords: Otolith; Mixture model; Larval dispersal

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APA (6th Edition):

Neubauer, P. (2012). Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2051

Chicago Manual of Style (16th Edition):

Neubauer, Philipp. “Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation.” 2012. Doctoral Dissertation, Victoria University of Wellington. Accessed October 24, 2020. http://hdl.handle.net/10063/2051.

MLA Handbook (7th Edition):

Neubauer, Philipp. “Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation.” 2012. Web. 24 Oct 2020.

Vancouver:

Neubauer P. Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2012. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10063/2051.

Council of Science Editors:

Neubauer P. Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation. [Doctoral Dissertation]. Victoria University of Wellington; 2012. Available from: http://hdl.handle.net/10063/2051


Virginia Tech

3. Zhang, Dengfeng. Latent Class Model in Transportation Study.

Degree: PhD, Statistics, 2015, Virginia Tech

 Statistics, as a critical component in transportation research, has been widely used to analyze driver safety, travel time, traffic flow and numerous other problems. Many… (more)

Subjects/Keywords: Transportation; Mixture model; Quantile regression

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APA (6th Edition):

Zhang, D. (2015). Latent Class Model in Transportation Study. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51203

Chicago Manual of Style (16th Edition):

Zhang, Dengfeng. “Latent Class Model in Transportation Study.” 2015. Doctoral Dissertation, Virginia Tech. Accessed October 24, 2020. http://hdl.handle.net/10919/51203.

MLA Handbook (7th Edition):

Zhang, Dengfeng. “Latent Class Model in Transportation Study.” 2015. Web. 24 Oct 2020.

Vancouver:

Zhang D. Latent Class Model in Transportation Study. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10919/51203.

Council of Science Editors:

Zhang D. Latent Class Model in Transportation Study. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51203


McMaster University

4. Zhang, Xu Xuan. Non-Gaussian Mixture Model Averaging for Clustering.

Degree: MSc, 2016, McMaster University

The Gaussian mixture model has been used for model-based clustering analysis for decades. Most model-based clustering analyses are based on the Gaussian mixture model. Model(more)

Subjects/Keywords: Model-based Clustering; Model Averaging; Mixture Models

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APA (6th Edition):

Zhang, X. X. (2016). Non-Gaussian Mixture Model Averaging for Clustering. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20792

Chicago Manual of Style (16th Edition):

Zhang, Xu Xuan. “Non-Gaussian Mixture Model Averaging for Clustering.” 2016. Masters Thesis, McMaster University. Accessed October 24, 2020. http://hdl.handle.net/11375/20792.

MLA Handbook (7th Edition):

Zhang, Xu Xuan. “Non-Gaussian Mixture Model Averaging for Clustering.” 2016. Web. 24 Oct 2020.

Vancouver:

Zhang XX. Non-Gaussian Mixture Model Averaging for Clustering. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11375/20792.

Council of Science Editors:

Zhang XX. Non-Gaussian Mixture Model Averaging for Clustering. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20792


University of Illinois – Chicago

5. Huang, Ziqian. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.

Degree: 2012, University of Illinois – Chicago

 Segmentation refers to the assignment of each consumer to a set of similar consumers. The formation of the sets and the assignments are done simultaneously… (more)

Subjects/Keywords: Segmentation; Finite Mixture Model; Mixture Logit Model; Hidden Markov Model; Quantitative Marketing Model

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APA (6th Edition):

Huang, Z. (2012). Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9611

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):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Thesis, University of Illinois – Chicago. Accessed October 24, 2020. http://hdl.handle.net/10027/9611.

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

MLA Handbook (7th Edition):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Web. 24 Oct 2020.

Vancouver:

Huang Z. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10027/9611.

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

Council of Science Editors:

Huang Z. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9611

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


University of Alberta

6. Niu, Xiaoqing. Homogeneity test in finite mixture models using EM-test.

Degree: PhD, Department of Mathematical and Statistical Sciences, 2013, University of Alberta

 The class of finite mixture models is widely used in many areas, including science, humanities, medicine, engineering, among many others. Testing homogeneity is one of… (more)

Subjects/Keywords: EM-test; multivariate mixture model; scale mixture of normal model; contaminated normal model; mixture model; homogeneity test

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APA (6th Edition):

Niu, X. (2013). Homogeneity test in finite mixture models using EM-test. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cpz50gw21c

Chicago Manual of Style (16th Edition):

Niu, Xiaoqing. “Homogeneity test in finite mixture models using EM-test.” 2013. Doctoral Dissertation, University of Alberta. Accessed October 24, 2020. https://era.library.ualberta.ca/files/cpz50gw21c.

MLA Handbook (7th Edition):

Niu, Xiaoqing. “Homogeneity test in finite mixture models using EM-test.” 2013. Web. 24 Oct 2020.

Vancouver:

Niu X. Homogeneity test in finite mixture models using EM-test. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2020 Oct 24]. Available from: https://era.library.ualberta.ca/files/cpz50gw21c.

Council of Science Editors:

Niu X. Homogeneity test in finite mixture models using EM-test. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/cpz50gw21c


University of Maryland

7. Hou, Xiaodong. Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods.

Degree: Measurement, Statistics and Evaluation, 2011, University of Maryland

 A factor mixture model (FMM) is a hybrid of latent class analysis and factor analysis modeling techniques. It can be used to investigate group differences… (more)

Subjects/Keywords: Statistics; Educational tests & measurements; Estimation method; Factor mixture model; Mixture IRT

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APA (6th Edition):

Hou, X. (2011). Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12334

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):

Hou, Xiaodong. “Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods.” 2011. Thesis, University of Maryland. Accessed October 24, 2020. http://hdl.handle.net/1903/12334.

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

MLA Handbook (7th Edition):

Hou, Xiaodong. “Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods.” 2011. Web. 24 Oct 2020.

Vancouver:

Hou X. Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods. [Internet] [Thesis]. University of Maryland; 2011. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1903/12334.

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

Council of Science Editors:

Hou X. Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/12334

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


Temple University

8. Zhan, Tingting. The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data.

Degree: PhD, 2012, Temple University

Statistics

We propose the generalized linear mixed model for finite normal mixtures (GLMFM), as well as the estimation procedures for the GLMFM model, which are… (more)

Subjects/Keywords: Statistics; Biostatistics; finite mixture; mixed model; robust

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APA (6th Edition):

Zhan, T. (2012). The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,171613

Chicago Manual of Style (16th Edition):

Zhan, Tingting. “The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data.” 2012. Doctoral Dissertation, Temple University. Accessed October 24, 2020. http://digital.library.temple.edu/u?/p245801coll10,171613.

MLA Handbook (7th Edition):

Zhan, Tingting. “The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data.” 2012. Web. 24 Oct 2020.

Vancouver:

Zhan T. The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data. [Internet] [Doctoral dissertation]. Temple University; 2012. [cited 2020 Oct 24]. Available from: http://digital.library.temple.edu/u?/p245801coll10,171613.

Council of Science Editors:

Zhan T. The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data. [Doctoral Dissertation]. Temple University; 2012. Available from: http://digital.library.temple.edu/u?/p245801coll10,171613

9. Jeyakanthan V S. Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs.

Degree: Civil Engineering, 2014, Anna University

Periodical capacity surveys of multi-purpose reservoirs help in assessing the rate of sedimentation and reduction in the storage capacity. Hydrographic surveys are the common, conventional… (more)

Subjects/Keywords: Geology; Linear mixture model; Satellite images

Page 1

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APA (6th Edition):

S, J. V. (2014). Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/15649

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):

S, Jeyakanthan V. “Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs.” 2014. Thesis, Anna University. Accessed October 24, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/15649.

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

MLA Handbook (7th Edition):

S, Jeyakanthan V. “Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs.” 2014. Web. 24 Oct 2020.

Vancouver:

S JV. Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Oct 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15649.

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

Council of Science Editors:

S JV. Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15649

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


University of Saskatchewan

10. An, Sen. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.

Degree: 2015, University of Saskatchewan

 Retinal vessel segmentation is beneficial for eye surgery and detection of diabetic retinopathy. Mathematical morphology, or top-hat reconstruction can keep desired vessel structures. Gaussian mixture(more)

Subjects/Keywords: Retinal segmentation; mathematical morphology; Gaussian mixture model

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APA (6th Edition):

An, S. (2015). A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12617

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):

An, Sen. “A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.” 2015. Thesis, University of Saskatchewan. Accessed October 24, 2020. http://hdl.handle.net/10388/12617.

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

MLA Handbook (7th Edition):

An, Sen. “A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.” 2015. Web. 24 Oct 2020.

Vancouver:

An S. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. [Internet] [Thesis]. University of Saskatchewan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10388/12617.

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

Council of Science Editors:

An S. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. [Thesis]. University of Saskatchewan; 2015. Available from: http://hdl.handle.net/10388/12617

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


Penn State University

11. Wang, Ningtao. A Block Mixture Model To Map Eqtls For Gene Clustering.

Degree: 2015, Penn State University

 To study how genes function in a cellular and physiological process, a general procedure is to classify gene expression profiles into categories based on their… (more)

Subjects/Keywords: block mixture model; eQTL; gene cluster

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APA (6th Edition):

Wang, N. (2015). A Block Mixture Model To Map Eqtls For Gene Clustering. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26198

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):

Wang, Ningtao. “A Block Mixture Model To Map Eqtls For Gene Clustering.” 2015. Thesis, Penn State University. Accessed October 24, 2020. https://submit-etda.libraries.psu.edu/catalog/26198.

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

MLA Handbook (7th Edition):

Wang, Ningtao. “A Block Mixture Model To Map Eqtls For Gene Clustering.” 2015. Web. 24 Oct 2020.

Vancouver:

Wang N. A Block Mixture Model To Map Eqtls For Gene Clustering. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 24]. Available from: https://submit-etda.libraries.psu.edu/catalog/26198.

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

Council of Science Editors:

Wang N. A Block Mixture Model To Map Eqtls For Gene Clustering. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26198

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


University of Toronto

12. Li, Yue. Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space.

Degree: 2017, University of Toronto

How does interference impact memory? Previous work on memory for colour suggest that the similarity of distracting information can differentially alter how visual representations are… (more)

Subjects/Keywords: Interference; Mixture Model; Shape Wheel; Similarity; 0633

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APA (6th Edition):

Li, Y. (2017). Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/97186

Chicago Manual of Style (16th Edition):

Li, Yue. “Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space.” 2017. Masters Thesis, University of Toronto. Accessed October 24, 2020. http://hdl.handle.net/1807/97186.

MLA Handbook (7th Edition):

Li, Yue. “Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space.” 2017. Web. 24 Oct 2020.

Vancouver:

Li Y. Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1807/97186.

Council of Science Editors:

Li Y. Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/97186


Colorado State University

13. Coleman, Michael Lee. Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography.

Degree: PhD, Civil and Environmental Engineering, 2012, Colorado State University

 This dissertation consists of three parts, two of which examine methods for estimating spatial soil moisture patterns while the third investigates the reconstruction of a… (more)

Subjects/Keywords: Pajarito; moisture; topography; estimation; mixture model

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APA (6th Edition):

Coleman, M. L. (2012). Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/67424

Chicago Manual of Style (16th Edition):

Coleman, Michael Lee. “Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography.” 2012. Doctoral Dissertation, Colorado State University. Accessed October 24, 2020. http://hdl.handle.net/10217/67424.

MLA Handbook (7th Edition):

Coleman, Michael Lee. “Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography.” 2012. Web. 24 Oct 2020.

Vancouver:

Coleman ML. Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10217/67424.

Council of Science Editors:

Coleman ML. Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/67424


University of Manchester

14. Hossain, Shahadat. Complete Bayesian analysis of some mixture time series models.

Degree: PhD, 2012, University of Manchester

 In this thesis we consider some finite mixture time series models in which each component is following a well-known process, e.g. AR, ARMA or ARMA-GARCH… (more)

Subjects/Keywords: 519.5; Bayesian; Mixture Model; Time Series

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APA (6th Edition):

Hossain, S. (2012). Complete Bayesian analysis of some mixture time series models. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550

Chicago Manual of Style (16th Edition):

Hossain, Shahadat. “Complete Bayesian analysis of some mixture time series models.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 24, 2020. https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550.

MLA Handbook (7th Edition):

Hossain, Shahadat. “Complete Bayesian analysis of some mixture time series models.” 2012. Web. 24 Oct 2020.

Vancouver:

Hossain S. Complete Bayesian analysis of some mixture time series models. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Oct 24]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550.

Council of Science Editors:

Hossain S. Complete Bayesian analysis of some mixture time series models. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550


Uppsala University

15. Dahlqwist, Elisabeth. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.

Degree: Statistics, 2014, Uppsala University

  The following study analyzes birthweight-specific neonatal health using a combination of a mixture model and logistic regression: the extended Parametric Mixture of Logistic Regression.… (more)

Subjects/Keywords: Birthweight; heaping; neonatal mortality; Gaussian mixture model

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APA (6th Edition):

Dahlqwist, E. (2014). Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

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):

Dahlqwist, Elisabeth. “Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.” 2014. Thesis, Uppsala University. Accessed October 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531.

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

MLA Handbook (7th Edition):

Dahlqwist, Elisabeth. “Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.” 2014. Web. 24 Oct 2020.

Vancouver:

Dahlqwist E. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. [Internet] [Thesis]. Uppsala University; 2014. [cited 2020 Oct 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531.

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

Council of Science Editors:

Dahlqwist E. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. [Thesis]. Uppsala University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

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


University of Minnesota

16. Lee, Sang Mee. Statistical methods for gene set based significance analysis.

Degree: PhD, Biostatistics, 2011, University of Minnesota

 Gene set enrichment analysis (GSEA) is a method to identify groups of genes, which are statistically more differentially expressed than all other genes across different… (more)

Subjects/Keywords: EM; Enrichment analysis; LRT; Mixture model; Biostatistics

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

APA (6th Edition):

Lee, S. M. (2011). Statistical methods for gene set based significance analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/113175

Chicago Manual of Style (16th Edition):

Lee, Sang Mee. “Statistical methods for gene set based significance analysis.” 2011. Doctoral Dissertation, University of Minnesota. Accessed October 24, 2020. http://purl.umn.edu/113175.

MLA Handbook (7th Edition):

Lee, Sang Mee. “Statistical methods for gene set based significance analysis.” 2011. Web. 24 Oct 2020.

Vancouver:

Lee SM. Statistical methods for gene set based significance analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Oct 24]. Available from: http://purl.umn.edu/113175.

Council of Science Editors:

Lee SM. Statistical methods for gene set based significance analysis. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/113175


University of New South Wales

17. Ghodrat, Maryam. Computational modelling and analysis of the flow and performance in hydrocyclones.

Degree: Materials Science & Engineering, 2014, University of New South Wales

 Hydrocyclones have been widely used to separate particles by size in many industries. Their flows are complicated and involve multiple phases: liquid, gas, and particles… (more)

Subjects/Keywords: Coal; Hydrocyclones; Mineral Processing; Multiphase mixture model

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APA (6th Edition):

Ghodrat, M. (2014). Computational modelling and analysis of the flow and performance in hydrocyclones. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Ghodrat, Maryam. “Computational modelling and analysis of the flow and performance in hydrocyclones.” 2014. Doctoral Dissertation, University of New South Wales. Accessed October 24, 2020. http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true.

MLA Handbook (7th Edition):

Ghodrat, Maryam. “Computational modelling and analysis of the flow and performance in hydrocyclones.” 2014. Web. 24 Oct 2020.

Vancouver:

Ghodrat M. Computational modelling and analysis of the flow and performance in hydrocyclones. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Oct 24]. Available from: http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true.

Council of Science Editors:

Ghodrat M. Computational modelling and analysis of the flow and performance in hydrocyclones. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true


University of Texas – Austin

18. -0368-0657. Statistical clustering of data.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

 Cluster analysis aims at segmenting objects into groups with similar members and, therefore helps to discover distribution of properties and correlations in large datasets. Data… (more)

Subjects/Keywords: Clustering; Hierarchical; K-means; Gaussian mixture model

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

APA (6th Edition):

-0368-0657. (2015). Statistical clustering of data. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32491

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-0368-0657. “Statistical clustering of data.” 2015. Masters Thesis, University of Texas – Austin. Accessed October 24, 2020. http://hdl.handle.net/2152/32491.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-0368-0657. “Statistical clustering of data.” 2015. Web. 24 Oct 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-0368-0657. Statistical clustering of data. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2152/32491.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-0368-0657. Statistical clustering of data. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32491

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Rutgers University

19. Li, Benjamin Yongbin, 1970-. Finite mixture models in survival data analysis.

Degree: PhD, Statistics and Biostatistics, 2019, Rutgers University

In the pharmaceutical industry, cost-effectiveness analysis is an important step in the development of new health interventions. It is a method for assessing the gains… (more)

Subjects/Keywords: Finite mixture model; Patients  – Mortality  – Statistical methods

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

APA (6th Edition):

Li, Benjamin Yongbin, 1. (2019). Finite mixture models in survival data analysis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61793/

Chicago Manual of Style (16th Edition):

Li, Benjamin Yongbin, 1970-. “Finite mixture models in survival data analysis.” 2019. Doctoral Dissertation, Rutgers University. Accessed October 24, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/61793/.

MLA Handbook (7th Edition):

Li, Benjamin Yongbin, 1970-. “Finite mixture models in survival data analysis.” 2019. Web. 24 Oct 2020.

Vancouver:

Li, Benjamin Yongbin 1. Finite mixture models in survival data analysis. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Oct 24]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/.

Council of Science Editors:

Li, Benjamin Yongbin 1. Finite mixture models in survival data analysis. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/


McMaster University

20. Wei, Yuhong. Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions.

Degree: PhD, 2017, McMaster University

Growth mixture models (GMMs) are used to model intra-individual change and inter-individual differences in change and to detect underlying group structure in longitudinal studies. Regularly,… (more)

Subjects/Keywords: Growth Mixture Model; Model-Based Clustering; EM Algorithm; Missing Data; Finite Mixture Models

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APA (6th Edition):

Wei, Y. (2017). Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/21987

Chicago Manual of Style (16th Edition):

Wei, Yuhong. “Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions.” 2017. Doctoral Dissertation, McMaster University. Accessed October 24, 2020. http://hdl.handle.net/11375/21987.

MLA Handbook (7th Edition):

Wei, Yuhong. “Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions.” 2017. Web. 24 Oct 2020.

Vancouver:

Wei Y. Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11375/21987.

Council of Science Editors:

Wei Y. Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21987


Delft University of Technology

21. Seuren, Stijn (author). Real-time reference trajectory adaptation for haptic shared control during teleoperation.

Degree: 2018, Delft University of Technology

Haptic Shared Control (HSC) can improve operator performance during teleoperation. HSC uses assistive forces on the master device to guide the operator's control input towards… (more)

Subjects/Keywords: Teleoperation; Haptic Shared Control; Reference adaption; Task Parameterized Gaussian Mixture Model; Incremental Gaussian Mixture Model

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APA (6th Edition):

Seuren, S. (. (2018). Real-time reference trajectory adaptation for haptic shared control during teleoperation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646

Chicago Manual of Style (16th Edition):

Seuren, Stijn (author). “Real-time reference trajectory adaptation for haptic shared control during teleoperation.” 2018. Masters Thesis, Delft University of Technology. Accessed October 24, 2020. http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646.

MLA Handbook (7th Edition):

Seuren, Stijn (author). “Real-time reference trajectory adaptation for haptic shared control during teleoperation.” 2018. Web. 24 Oct 2020.

Vancouver:

Seuren S(. Real-time reference trajectory adaptation for haptic shared control during teleoperation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Oct 24]. Available from: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646.

Council of Science Editors:

Seuren S(. Real-time reference trajectory adaptation for haptic shared control during teleoperation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646


University of Guelph

22. Wei, Yuhong. Mixture Model Averaging for Clustering.

Degree: MS, Department of Mathematics and Statistics, 2012, University of Guelph

Model-based clustering is based on a finite mixture of distributions, where each mixture component corresponds to a different group, cluster, subpopulation, or part thereof. Gaussian… (more)

Subjects/Keywords: mclust; merging mixture component; mixture model; model averaging; Model selection; model-based clustering; parameter estimation; pgmm; adjusted Rand index

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

APA (6th Edition):

Wei, Y. (2012). Mixture Model Averaging for Clustering. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538

Chicago Manual of Style (16th Edition):

Wei, Yuhong. “Mixture Model Averaging for Clustering.” 2012. Masters Thesis, University of Guelph. Accessed October 24, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538.

MLA Handbook (7th Edition):

Wei, Yuhong. “Mixture Model Averaging for Clustering.” 2012. Web. 24 Oct 2020.

Vancouver:

Wei Y. Mixture Model Averaging for Clustering. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2020 Oct 24]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538.

Council of Science Editors:

Wei Y. Mixture Model Averaging for Clustering. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538


Brno University of Technology

23. Šolc, Radek. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.

Degree: 2019, Brno University of Technology

 This diploma thesis deals with segmentation of blood vessel from images acquired by fundus camera. The characteristic of fundus images and current methods of segmentation… (more)

Subjects/Keywords: segmentace; fundus; EM; statistický model; GMM; SMM; FMM; mixture model; segmentation; fundus; EM; statistical model; GMM; SMM; FMM; mixture model

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

APA (6th Edition):

Šolc, R. (2019). Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38886

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):

Šolc, Radek. “Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.” 2019. Thesis, Brno University of Technology. Accessed October 24, 2020. http://hdl.handle.net/11012/38886.

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

MLA Handbook (7th Edition):

Šolc, Radek. “Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.” 2019. Web. 24 Oct 2020.

Vancouver:

Šolc R. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11012/38886.

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

Council of Science Editors:

Šolc R. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/38886

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


University of Georgia

24. Choi, Hye-Jeong. A model that combines diagnostic classification assessment with mixture item response theory models.

Degree: 2014, University of Georgia

 The purpose of this dissertation is to present a new psychometric model that combines a Mixture Rasch model with a diagnostic model. We refer to… (more)

Subjects/Keywords: Local dependence; Multidimensionality; Latent class model; Mixture Rasch model; Diagnostic models; Log-linear cognitive diagnosis models; Diagnostic classification mixture Rasch model

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

APA (6th Edition):

Choi, H. (2014). A model that combines diagnostic classification assessment with mixture item response theory models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26276

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):

Choi, Hye-Jeong. “A model that combines diagnostic classification assessment with mixture item response theory models.” 2014. Thesis, University of Georgia. Accessed October 24, 2020. http://hdl.handle.net/10724/26276.

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

MLA Handbook (7th Edition):

Choi, Hye-Jeong. “A model that combines diagnostic classification assessment with mixture item response theory models.” 2014. Web. 24 Oct 2020.

Vancouver:

Choi H. A model that combines diagnostic classification assessment with mixture item response theory models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10724/26276.

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

Council of Science Editors:

Choi H. A model that combines diagnostic classification assessment with mixture item response theory models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26276

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


University of Melbourne

25. Li, Yan. A probabilistic approach for Wi-Fi based indoor localization.

Degree: 2019, University of Melbourne

 The Global Navigation Satellite System (GNSS) has been widely used to provide location information in outdoor environments, but it fails to provide reliable positioning indoors.… (more)

Subjects/Keywords: WiFi localization; Hidden Markov Model; Probabilistic fingerprinting; Gaussian mixture model

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APA (6th Edition):

Li, Y. (2019). A probabilistic approach for Wi-Fi based indoor localization. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/234278

Chicago Manual of Style (16th Edition):

Li, Yan. “A probabilistic approach for Wi-Fi based indoor localization.” 2019. Doctoral Dissertation, University of Melbourne. Accessed October 24, 2020. http://hdl.handle.net/11343/234278.

MLA Handbook (7th Edition):

Li, Yan. “A probabilistic approach for Wi-Fi based indoor localization.” 2019. Web. 24 Oct 2020.

Vancouver:

Li Y. A probabilistic approach for Wi-Fi based indoor localization. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11343/234278.

Council of Science Editors:

Li Y. A probabilistic approach for Wi-Fi based indoor localization. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/234278


University of Kentucky

26. Zhou, Feng. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.

Degree: 2014, University of Kentucky

Mixture modeling has numerous applications. One particular interest is microarray data analysis. My dissertation research is focused on the Contaminated Chi-Square (CCS) Modeling and its… (more)

Subjects/Keywords: Contaminated Chi-Square Model; EM Algorithm; MLRT; Microarray; Mixture Model; Microarrays

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APA (6th Edition):

Zhou, F. (2014). Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/7

Chicago Manual of Style (16th Edition):

Zhou, Feng. “Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.” 2014. Doctoral Dissertation, University of Kentucky. Accessed October 24, 2020. https://uknowledge.uky.edu/statistics_etds/7.

MLA Handbook (7th Edition):

Zhou, Feng. “Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.” 2014. Web. 24 Oct 2020.

Vancouver:

Zhou F. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. [Internet] [Doctoral dissertation]. University of Kentucky; 2014. [cited 2020 Oct 24]. Available from: https://uknowledge.uky.edu/statistics_etds/7.

Council of Science Editors:

Zhou F. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. [Doctoral Dissertation]. University of Kentucky; 2014. Available from: https://uknowledge.uky.edu/statistics_etds/7


University of Oklahoma

27. Hunter, Michael. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.

Degree: PhD, 2014, University of Oklahoma

 Increasingly, psychologists encounter data in which several individuals have been measured on multiple variables over numerous occasions. Many of the current methods for this situation… (more)

Subjects/Keywords: Psychology, Psychometrics.; Time Series; Dynamics; State Space Model; Independent Mixture Model

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APA (6th Edition):

Hunter, M. (2014). State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13885

Chicago Manual of Style (16th Edition):

Hunter, Michael. “State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed October 24, 2020. http://hdl.handle.net/11244/13885.

MLA Handbook (7th Edition):

Hunter, Michael. “State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.” 2014. Web. 24 Oct 2020.

Vancouver:

Hunter M. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11244/13885.

Council of Science Editors:

Hunter M. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13885


Dalhousie University

28. Zou, Liwen. Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference.

Degree: PhD, Department of Mathematics & Statistics - Statistics Division, 2011, Dalhousie University

 This thesis considers two distinct topics in phylogenetic analysis. The first is construction of empirical rate matrices for amino acid models. The second topic, which… (more)

Subjects/Keywords: NSGTR model; Edge length; Rate matrix; Nonstationary; BH mixture model; BH model; Identifiability

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APA (6th Edition):

Zou, L. (2011). Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14248

Chicago Manual of Style (16th Edition):

Zou, Liwen. “Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference.” 2011. Doctoral Dissertation, Dalhousie University. Accessed October 24, 2020. http://hdl.handle.net/10222/14248.

MLA Handbook (7th Edition):

Zou, Liwen. “Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference.” 2011. Web. 24 Oct 2020.

Vancouver:

Zou L. Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference. [Internet] [Doctoral dissertation]. Dalhousie University; 2011. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10222/14248.

Council of Science Editors:

Zou L. Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference. [Doctoral Dissertation]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/14248


University of Georgia

29. Lee, Sunbok. The impact of missing data on the dichotomous mixture IRT models.

Degree: 2014, University of Georgia

 A mixture IRT model introduces latent classes into the model and is used when researchers want to model the heterogeneity of a population. It is… (more)

Subjects/Keywords: Mixture model; item response theory; spurious class, missing data

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APA (6th Edition):

Lee, S. (2014). The impact of missing data on the dichotomous mixture IRT models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28324

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):

Lee, Sunbok. “The impact of missing data on the dichotomous mixture IRT models.” 2014. Thesis, University of Georgia. Accessed October 24, 2020. http://hdl.handle.net/10724/28324.

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

MLA Handbook (7th Edition):

Lee, Sunbok. “The impact of missing data on the dichotomous mixture IRT models.” 2014. Web. 24 Oct 2020.

Vancouver:

Lee S. The impact of missing data on the dichotomous mixture IRT models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10724/28324.

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

Council of Science Editors:

Lee S. The impact of missing data on the dichotomous mixture IRT models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28324

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


Texas A&M University

30. Liu, Guannan. Forecasting Financial Returns: A Copula-Based Method and a Robust Test.

Degree: PhD, Economics, 2016, Texas A&M University

 My dissertation includes two essays studying the forecasting of financial returns. In the first essay, I study the temporal dependence structures of financial returns by… (more)

Subjects/Keywords: Copula; Mixture copula; Model average; Nonlinear Markov models; Orthogonality test

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APA (6th Edition):

Liu, G. (2016). Forecasting Financial Returns: A Copula-Based Method and a Robust Test. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156914

Chicago Manual of Style (16th Edition):

Liu, Guannan. “Forecasting Financial Returns: A Copula-Based Method and a Robust Test.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 24, 2020. http://hdl.handle.net/1969.1/156914.

MLA Handbook (7th Edition):

Liu, Guannan. “Forecasting Financial Returns: A Copula-Based Method and a Robust Test.” 2016. Web. 24 Oct 2020.

Vancouver:

Liu G. Forecasting Financial Returns: A Copula-Based Method and a Robust Test. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1969.1/156914.

Council of Science Editors:

Liu G. Forecasting Financial Returns: A Copula-Based Method and a Robust Test. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156914

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