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You searched for subject:(Prediction interval). Showing records 1 – 22 of 22 total matches.

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IUPUI

1. Marchetti, Arika L. Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death.

Degree: 2019, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Context. Prediction models for dementia are crucial for informing clinical decision making in older adults. Previous models have used genotype… (more)

Subjects/Keywords: Prediction Models; Interval Censoring; Competing Risk

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APA (6th Edition):

Marchetti, A. L. (2019). Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/20532

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):

Marchetti, Arika L. “Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death.” 2019. Thesis, IUPUI. Accessed November 14, 2019. http://hdl.handle.net/1805/20532.

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

MLA Handbook (7th Edition):

Marchetti, Arika L. “Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death.” 2019. Web. 14 Nov 2019.

Vancouver:

Marchetti AL. Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death. [Internet] [Thesis]. IUPUI; 2019. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/1805/20532.

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

Council of Science Editors:

Marchetti AL. Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death. [Thesis]. IUPUI; 2019. Available from: http://hdl.handle.net/1805/20532

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

2. Taga, Marcel Frederico de Lima. Regressão linear com medidas censuradas.

Degree: Mestrado, Estatística, 2008, University of São Paulo

Consideramos um modelo de regressão linear simples, em que tanto a variável resposta como a independente estão sujeitas a censura intervalar. Como motivação utilizamos um… (more)

Subjects/Keywords: censura intervalar; interval censoring; intervalo de previsão; linear regression; prediction interval; regressão linear

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APA (6th Edition):

Taga, M. F. d. L. (2008). Regressão linear com medidas censuradas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;

Chicago Manual of Style (16th Edition):

Taga, Marcel Frederico de Lima. “Regressão linear com medidas censuradas.” 2008. Masters Thesis, University of São Paulo. Accessed November 14, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;.

MLA Handbook (7th Edition):

Taga, Marcel Frederico de Lima. “Regressão linear com medidas censuradas.” 2008. Web. 14 Nov 2019.

Vancouver:

Taga MFdL. Regressão linear com medidas censuradas. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2019 Nov 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;.

Council of Science Editors:

Taga MFdL. Regressão linear com medidas censuradas. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;


University of Alberta

3. Zarnani, Ashkan. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, University of Alberta

 Weather forecasting is one of the most vital tasks in many applications ranging from severe weather hazard systems to energy production. Numerical weather prediction (NWP)… (more)

Subjects/Keywords: Interval Forecast; Data clustering; Prediction Interval; Quantile Regression; Time series analysis; Numerical Weather Prediction; Statistical post-processing; Probabilistic forecast; Uncertainty Modeling

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APA (6th Edition):

Zarnani, A. (2014). Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6t053h668

Chicago Manual of Style (16th Edition):

Zarnani, Ashkan. “Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.” 2014. Doctoral Dissertation, University of Alberta. Accessed November 14, 2019. https://era.library.ualberta.ca/files/6t053h668.

MLA Handbook (7th Edition):

Zarnani, Ashkan. “Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.” 2014. Web. 14 Nov 2019.

Vancouver:

Zarnani A. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2019 Nov 14]. Available from: https://era.library.ualberta.ca/files/6t053h668.

Council of Science Editors:

Zarnani A. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/6t053h668


The Ohio State University

4. Schenk, Jason Robert. Meta-uncertainty and resilience with applications in intelligence analysis.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

 Uncertainty plays a major and inevitable role in human decision-making. Meta-uncertainty about the uncertainty can also be important but it is generally less studied. Such… (more)

Subjects/Keywords: Latent Dirichlet Allocation; prediction interval; stress-strain; consequence-likelihood

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APA (6th Edition):

Schenk, J. R. (2008). Meta-uncertainty and resilience with applications in intelligence analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269

Chicago Manual of Style (16th Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Doctoral Dissertation, The Ohio State University. Accessed November 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

MLA Handbook (7th Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Web. 14 Nov 2019.

Vancouver:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Nov 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

Council of Science Editors:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269


McMaster University

5. Wei, Xingli. Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications.

Degree: PhD, 2014, McMaster University

 This thesis presents simple efficient algorithms to estimate distribution parameters and to construct prediction intervals for location-scale families. Specifically, we study two scenarios: one is… (more)

Subjects/Keywords: Parameter estimation; Prediction interval; Mixed method; Generalized bootstrap; Markov Chain Monte Carlo; Bayesian method

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APA (6th Edition):

Wei, X. (2014). Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/15483

Chicago Manual of Style (16th Edition):

Wei, Xingli. “Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications.” 2014. Doctoral Dissertation, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/15483.

MLA Handbook (7th Edition):

Wei, Xingli. “Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications.” 2014. Web. 14 Nov 2019.

Vancouver:

Wei X. Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/15483.

Council of Science Editors:

Wei X. Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/15483


Iowa State University

6. Hong, Yili. Reliability prediction based on complicated data and dynamic data.

Degree: 2009, Iowa State University

 Lifetime data from the field can be complicated due to truncation, censoring, multiple failure modes, and the nonhomogeneity of the population. These complications lead to… (more)

Subjects/Keywords: Calibration; Maximum likelihood; Prediction interval; Stratification; Transformer maintenance; Warranty returns; Statistics and Probability

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APA (6th Edition):

Hong, Y. (2009). Reliability prediction based on complicated data and dynamic data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10646

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):

Hong, Yili. “Reliability prediction based on complicated data and dynamic data.” 2009. Thesis, Iowa State University. Accessed November 14, 2019. https://lib.dr.iastate.edu/etd/10646.

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

MLA Handbook (7th Edition):

Hong, Yili. “Reliability prediction based on complicated data and dynamic data.” 2009. Web. 14 Nov 2019.

Vancouver:

Hong Y. Reliability prediction based on complicated data and dynamic data. [Internet] [Thesis]. Iowa State University; 2009. [cited 2019 Nov 14]. Available from: https://lib.dr.iastate.edu/etd/10646.

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

Council of Science Editors:

Hong Y. Reliability prediction based on complicated data and dynamic data. [Thesis]. Iowa State University; 2009. Available from: https://lib.dr.iastate.edu/etd/10646

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


NSYSU

7. Hsieh, Chi-Hsuan. A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan.

Degree: Master, Electrical Engineering, 2000, NSYSU

 The field strength prediction chart is a set of statistical curves obtained through the analysis of huge amount of field strength measurement data of the… (more)

Subjects/Keywords: Protection/Interference Ratio; Terrain Roughness; Confidence Interval; Prediction Curves

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APA (6th Edition):

Hsieh, C. (2000). A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207

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):

Hsieh, Chi-Hsuan. “A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan.” 2000. Thesis, NSYSU. Accessed November 14, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207.

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

MLA Handbook (7th Edition):

Hsieh, Chi-Hsuan. “A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan.” 2000. Web. 14 Nov 2019.

Vancouver:

Hsieh C. A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan. [Internet] [Thesis]. NSYSU; 2000. [cited 2019 Nov 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207.

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

Council of Science Editors:

Hsieh C. A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan. [Thesis]. NSYSU; 2000. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207

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


Baylor University

8. Beckham, Stephen Ryan. A baseline admissions prediction model with textual analysis and confidence interval estimations.

Degree: Economics., 2014, Baylor University

 Essays submitted out individuals applying to Baylor University may contain hidden information that would assist the admissions department in their decision to accept the appicant.… (more)

Subjects/Keywords: Admissions predictions with textual analysis.; Ability prediction with textual analysis.; Confidence interval estimation with bootstrapping.; College admissions.

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APA (6th Edition):

Beckham, S. R. (2014). A baseline admissions prediction model with textual analysis and confidence interval estimations. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9141

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):

Beckham, Stephen Ryan. “A baseline admissions prediction model with textual analysis and confidence interval estimations. ” 2014. Thesis, Baylor University. Accessed November 14, 2019. http://hdl.handle.net/2104/9141.

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

MLA Handbook (7th Edition):

Beckham, Stephen Ryan. “A baseline admissions prediction model with textual analysis and confidence interval estimations. ” 2014. Web. 14 Nov 2019.

Vancouver:

Beckham SR. A baseline admissions prediction model with textual analysis and confidence interval estimations. [Internet] [Thesis]. Baylor University; 2014. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2104/9141.

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

Council of Science Editors:

Beckham SR. A baseline admissions prediction model with textual analysis and confidence interval estimations. [Thesis]. Baylor University; 2014. Available from: http://hdl.handle.net/2104/9141

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


Arizona State University

9. Guan, Xin. Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest.

Degree: Biomedical Informatics, 2017, Arizona State University

Subjects/Keywords: Biostatistics; feature selection; prediction interval; predictive modeling; random forest

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APA (6th Edition):

Guan, X. (2017). Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/45017

Chicago Manual of Style (16th Edition):

Guan, Xin. “Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest.” 2017. Doctoral Dissertation, Arizona State University. Accessed November 14, 2019. http://repository.asu.edu/items/45017.

MLA Handbook (7th Edition):

Guan, Xin. “Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest.” 2017. Web. 14 Nov 2019.

Vancouver:

Guan X. Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2019 Nov 14]. Available from: http://repository.asu.edu/items/45017.

Council of Science Editors:

Guan X. Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/45017

10. Helmersson, Madeleine. Annuity Divisors.

Degree: Mathematics and Mathematical Statistics, 2017, Umeå University

This paper studies the differences and similarities between the discrete annuity divisor of the income pension compared to the continuous annuity divisor of the… (more)

Subjects/Keywords: Annuity Divisor; Lee-Carter; Prediction interval; Pension; Life expectancy; Bootstrap; Makeham; Delningstal; Lee-Carter; Prediktionsintervall; Pension; Livslängder; Makeham; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA (6th Edition):

Helmersson, M. (2017). Annuity Divisors. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767

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):

Helmersson, Madeleine. “Annuity Divisors.” 2017. Thesis, Umeå University. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767.

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

MLA Handbook (7th Edition):

Helmersson, Madeleine. “Annuity Divisors.” 2017. Web. 14 Nov 2019.

Vancouver:

Helmersson M. Annuity Divisors. [Internet] [Thesis]. Umeå University; 2017. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767.

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

Council of Science Editors:

Helmersson M. Annuity Divisors. [Thesis]. Umeå University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767

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


Wright State University

11. Meador, Douglas P. Modeling Training Effects on Task Performance Using a Human Performance Taxonomy.

Degree: PhD, Engineering PhD, 2008, Wright State University

 There is little argument that modern military systems are very complex, both in terms of the resources in time and money to develop them and… (more)

Subjects/Keywords: Engineering; Human performance modeling; learning curve; performance prediction; human performance channels; modeling and simulation; skill acquisition; skill retention; skill reacquisition; training strategy; retention interval; military training; IMPRINT Pro

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APA (6th Edition):

Meador, D. P. (2008). Modeling Training Effects on Task Performance Using a Human Performance Taxonomy. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534

Chicago Manual of Style (16th Edition):

Meador, Douglas P. “Modeling Training Effects on Task Performance Using a Human Performance Taxonomy.” 2008. Doctoral Dissertation, Wright State University. Accessed November 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534.

MLA Handbook (7th Edition):

Meador, Douglas P. “Modeling Training Effects on Task Performance Using a Human Performance Taxonomy.” 2008. Web. 14 Nov 2019.

Vancouver:

Meador DP. Modeling Training Effects on Task Performance Using a Human Performance Taxonomy. [Internet] [Doctoral dissertation]. Wright State University; 2008. [cited 2019 Nov 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534.

Council of Science Editors:

Meador DP. Modeling Training Effects on Task Performance Using a Human Performance Taxonomy. [Doctoral Dissertation]. Wright State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534

12. Xu, Zhibing. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.

Degree: PhD, Statistics, 2014, Virginia Tech

 Reliability analysis plays an important role in keeping manufacturers in a competitive position. It can be applied in many areas such as warranty predictions, maintenance… (more)

Subjects/Keywords: Calibration; Covariate process; Degradation path; Failure reporting delay; Multi-level repairable systems; Trend-renewal process; Nonlinear mixed-effects model; Organic coatings; Prediction interval; Weibull distribution

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APA (6th Edition):

Xu, Z. (2014). Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51130

Chicago Manual of Style (16th Edition):

Xu, Zhibing. “Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 14, 2019. http://hdl.handle.net/10919/51130.

MLA Handbook (7th Edition):

Xu, Zhibing. “Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.” 2014. Web. 14 Nov 2019.

Vancouver:

Xu Z. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10919/51130.

Council of Science Editors:

Xu Z. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/51130

13. CHEN PIAO. GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS.

Degree: 2017, National University of Singapore

Subjects/Keywords: Generalized pivotal quantity; Confidence interval; Tolerance limits; Prediction limits; Coverage probability; Gamma process

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APA (6th Edition):

PIAO, C. (2017). GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/137186

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):

PIAO, CHEN. “GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS.” 2017. Thesis, National University of Singapore. Accessed November 14, 2019. http://scholarbank.nus.edu.sg/handle/10635/137186.

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

MLA Handbook (7th Edition):

PIAO, CHEN. “GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS.” 2017. Web. 14 Nov 2019.

Vancouver:

PIAO C. GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2019 Nov 14]. Available from: http://scholarbank.nus.edu.sg/handle/10635/137186.

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

Council of Science Editors:

PIAO C. GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/137186

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


University of Southern California

14. Korjani, Mohammad Mehdi. Intelligent knowledge acquisition systems: from descriptive to predictive models.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 Linguistic summarization is a data mining or knowledge discovery approach that describes a pattern in a database. Using techniques to generate linguistic summaries not only… (more)

Subjects/Keywords: breakdown of democracy; causal condition; causal combination; data mining; footprint of uncertainty; fuzzy set qualitative comparative analysis; fsQCA; fuzzy sets; interval type‐2 fuzzy sets; interval‐valued fsQCA; level 2 fuzzy sets; linguistic summarization; nonlinear regression; prediction; regression; type‐1 fuzzy sets; type‐1 fsQCA

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APA (6th Edition):

Korjani, M. M. (2015). Intelligent knowledge acquisition systems: from descriptive to predictive models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556

Chicago Manual of Style (16th Edition):

Korjani, Mohammad Mehdi. “Intelligent knowledge acquisition systems: from descriptive to predictive models.” 2015. Doctoral Dissertation, University of Southern California. Accessed November 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556.

MLA Handbook (7th Edition):

Korjani, Mohammad Mehdi. “Intelligent knowledge acquisition systems: from descriptive to predictive models.” 2015. Web. 14 Nov 2019.

Vancouver:

Korjani MM. Intelligent knowledge acquisition systems: from descriptive to predictive models. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Nov 14]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556.

Council of Science Editors:

Korjani MM. Intelligent knowledge acquisition systems: from descriptive to predictive models. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556


Texas A&M University

15. Jeong, Ran Hee. The prediction of bus arrival time using Automatic Vehicle Location Systems data.

Degree: 2005, Texas A&M University

 Advanced Traveler Information System (ATIS) is one component of Intelligent Transportation Systems (ITS), and a major component of ATIS is travel time information. The provision… (more)

Subjects/Keywords: bus arrival time; prediction model; Automatic Vehicle Location (AVL) Systems; GPS; Neural Network model; prediction interval

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APA (6th Edition):

Jeong, R. H. (2005). The prediction of bus arrival time using Automatic Vehicle Location Systems data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1458

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):

Jeong, Ran Hee. “The prediction of bus arrival time using Automatic Vehicle Location Systems data.” 2005. Thesis, Texas A&M University. Accessed November 14, 2019. http://hdl.handle.net/1969.1/1458.

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

MLA Handbook (7th Edition):

Jeong, Ran Hee. “The prediction of bus arrival time using Automatic Vehicle Location Systems data.” 2005. Web. 14 Nov 2019.

Vancouver:

Jeong RH. The prediction of bus arrival time using Automatic Vehicle Location Systems data. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/1969.1/1458.

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

Council of Science Editors:

Jeong RH. The prediction of bus arrival time using Automatic Vehicle Location Systems data. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/1458

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

16. Iacianci, Bryon C. Confidence Intervals on Cost Estimates When Using a Feature-based Approach.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2012, Ohio University

  This research explains the methodology for deriving the confidence interval on the cost estimate of a part, when a feature-based approach is used. The… (more)

Subjects/Keywords: Engineering; Industrial Engineering; cost estimating relationship; artificial neural network; confidence interval; cost prediction; CER; ANN; composite confidence interval; feature based

…37 2.4.3 Confidence Interval… …51 Confidence Interval… …Interval… …65 Table 4: Paired T-test Results for Half Width of Confidence Interval by Number of… …66 Table 5: Paired T-test Results for Percent of Test Points in Confidence Interval by… 

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

APA (6th Edition):

Iacianci, B. C. (2012). Confidence Intervals on Cost Estimates When Using a Feature-based Approach. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939

Chicago Manual of Style (16th Edition):

Iacianci, Bryon C. “Confidence Intervals on Cost Estimates When Using a Feature-based Approach.” 2012. Masters Thesis, Ohio University. Accessed November 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939.

MLA Handbook (7th Edition):

Iacianci, Bryon C. “Confidence Intervals on Cost Estimates When Using a Feature-based Approach.” 2012. Web. 14 Nov 2019.

Vancouver:

Iacianci BC. Confidence Intervals on Cost Estimates When Using a Feature-based Approach. [Internet] [Masters thesis]. Ohio University; 2012. [cited 2019 Nov 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939.

Council of Science Editors:

Iacianci BC. Confidence Intervals on Cost Estimates When Using a Feature-based Approach. [Masters Thesis]. Ohio University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939


University of Helsinki

17. Dyba, Tadeusz. Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations.

Degree: Mathematics and Statistics (Matematik och statistik, Institutionen för (Statsvetenskapliga fakulteten), 2000, University of Helsinki

Predictions of disease incidence, including cancer incidence, play an important role in an epidemiological analysis, both in an administrative and scientific context. The use of… (more)

Subjects/Keywords: incidence prediction - cancer; prediction interval; Poisson distribution; linear models; non-linear models; syöpä - ennusteet - matemaattiset mallit; Poissonin jakauma - sovellukset; incidence prediction - cancer; prediction interval; Poisson distribution; linear models; non-linear models; syöpä - ennusteet - matemaattiset mallit; Poissonin jakauma - sovellukset

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

APA (6th Edition):

Dyba, T. (2000). Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations. (Doctoral Dissertation). University of Helsinki. Retrieved from http://hdl.handle.net/10138/12210

Chicago Manual of Style (16th Edition):

Dyba, Tadeusz. “Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations.” 2000. Doctoral Dissertation, University of Helsinki. Accessed November 14, 2019. http://hdl.handle.net/10138/12210.

MLA Handbook (7th Edition):

Dyba, Tadeusz. “Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations.” 2000. Web. 14 Nov 2019.

Vancouver:

Dyba T. Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations. [Internet] [Doctoral dissertation]. University of Helsinki; 2000. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10138/12210.

Council of Science Editors:

Dyba T. Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations. [Doctoral Dissertation]. University of Helsinki; 2000. Available from: http://hdl.handle.net/10138/12210


Université de Bordeaux I

18. Merheb, Rania. Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth.

Degree: Docteur es, Mécanique et ingénierie, 2013, Université de Bordeaux I

La conception des bâtiments à faible consommation d’énergie est devenue un enjeu très important dans le but de réduire au maximum la consommation d’énergie et… (more)

Subjects/Keywords: Bâtiment basse consommation; Fiabilité des prévisons; Incertitudes; Paramètres statiques; Analyse de sensibilité; Propagation d'incertitudes; Analyse par intervalle; Low-energy buildings; Reliable prediction; Uncertainties; Static parameters; Sensitivity analysis; Uncertainty propagation; Interval analysis

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APA (6th Edition):

Merheb, R. (2013). Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2013BOR14959

Chicago Manual of Style (16th Edition):

Merheb, Rania. “Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth.” 2013. Doctoral Dissertation, Université de Bordeaux I. Accessed November 14, 2019. http://www.theses.fr/2013BOR14959.

MLA Handbook (7th Edition):

Merheb, Rania. “Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth.” 2013. Web. 14 Nov 2019.

Vancouver:

Merheb R. Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2013. [cited 2019 Nov 14]. Available from: http://www.theses.fr/2013BOR14959.

Council of Science Editors:

Merheb R. Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth. [Doctoral Dissertation]. Université de Bordeaux I; 2013. Available from: http://www.theses.fr/2013BOR14959

19. Wu, Carole-Jean. Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference .

Degree: PhD, 2012, Princeton University

 Given the emerging dominance of chip-multiprocessor (CMP) systems, an important research problem concerns application memory performance in the face of deep memory hierarchies, where one… (more)

Subjects/Keywords: Cache interference; Chip-multiprocessor caches; Intra-application cache interference; Operating system cache effects; Prefetcher management; Re-reference interval prediction

interval of a cache line. This prediction can then be used to control the cache line’s lifetime… …reference interval prediction (RRIP) framework [39] which modifies cache… …69 4.2 Intelligent Cache Insertions with Signature-Based Hit Prediction . . . 71 4.3… …re-reference prediction on cache insertions [39, 68, 77, 92] can significantly… …propose the signature-based cache hit prediction (SHiP) framework [87]… 

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APA (6th Edition):

Wu, C. (2012). Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp0176537138f

Chicago Manual of Style (16th Edition):

Wu, Carole-Jean. “Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference .” 2012. Doctoral Dissertation, Princeton University. Accessed November 14, 2019. http://arks.princeton.edu/ark:/88435/dsp0176537138f.

MLA Handbook (7th Edition):

Wu, Carole-Jean. “Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference .” 2012. Web. 14 Nov 2019.

Vancouver:

Wu C. Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference . [Internet] [Doctoral dissertation]. Princeton University; 2012. [cited 2019 Nov 14]. Available from: http://arks.princeton.edu/ark:/88435/dsp0176537138f.

Council of Science Editors:

Wu C. Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference . [Doctoral Dissertation]. Princeton University; 2012. Available from: http://arks.princeton.edu/ark:/88435/dsp0176537138f


University of Gothenburg / Göteborgs Universitet

20. Houltz, Birgitta 1952-. Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant.

Degree: 2000, University of Gothenburg / Göteborgs Universitet

 The interest in class III drugs has increased over the last decades as being potent antiarrhythmic agents in their mode of action by prolongation of… (more)

Subjects/Keywords: Almokalant; class III antiarrhythmic agent; potassium channel blocker; atrial fibrillation; sinus rhythm; conversion; electrocardiographic; QT interval prolongation; T wave morphology; prediction; torsades de pointes; proarrhythmia; QT dispersion; ventric

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APA (6th Edition):

Houltz, B. 1. (2000). Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/11749

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):

Houltz, Birgitta 1952-. “Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant.” 2000. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed November 14, 2019. http://hdl.handle.net/2077/11749.

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

MLA Handbook (7th Edition):

Houltz, Birgitta 1952-. “Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant.” 2000. Web. 14 Nov 2019.

Vancouver:

Houltz B1. Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2000. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2077/11749.

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

Council of Science Editors:

Houltz B1. Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2000. Available from: http://hdl.handle.net/2077/11749

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

21. Condon, James. Predicting Registered Health Information Administrator Examination Scores.

Degree: Doctor of Education in Education Administration (EdD), Department of Leadership, Technology, and Human Development, 2013, Georgia Southern University

  The purpose of this study was to determine whether differences existed among candidates for the Registered Health Information Administrator certification examination that may have… (more)

Subjects/Keywords: ETD; RHIA exam; Professional certification examination success formula; Success prediction model; Approximate prediction interval; Educational Assessment, Evaluation, and Research; Secondary Education and Teaching; Teacher Education and Professional Development; Jack N. Averitt College of Graduate Studies, Electronic Theses & Dissertations, ETDs, Student Research

…professional certification, have effectively produced success prediction formulas or models (… …paucity of professional education programs, no success prediction model has yet been identified… …additional research directed toward this area could potentially identify a success prediction model… …education, have conducted extensive research in this area and have developed success prediction… …Administrator examination success prediction model be identified? Conceptual Framework A conceptual… 

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

APA (6th Edition):

Condon, J. (2013). Predicting Registered Health Information Administrator Examination Scores. (Doctoral Dissertation). Georgia Southern University. Retrieved from https://digitalcommons.georgiasouthern.edu/etd/807

Chicago Manual of Style (16th Edition):

Condon, James. “Predicting Registered Health Information Administrator Examination Scores.” 2013. Doctoral Dissertation, Georgia Southern University. Accessed November 14, 2019. https://digitalcommons.georgiasouthern.edu/etd/807.

MLA Handbook (7th Edition):

Condon, James. “Predicting Registered Health Information Administrator Examination Scores.” 2013. Web. 14 Nov 2019.

Vancouver:

Condon J. Predicting Registered Health Information Administrator Examination Scores. [Internet] [Doctoral dissertation]. Georgia Southern University; 2013. [cited 2019 Nov 14]. Available from: https://digitalcommons.georgiasouthern.edu/etd/807.

Council of Science Editors:

Condon J. Predicting Registered Health Information Administrator Examination Scores. [Doctoral Dissertation]. Georgia Southern University; 2013. Available from: https://digitalcommons.georgiasouthern.edu/etd/807


Linköping University

22. Vestin, Albin. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.

Degree: Automatic Control, 2019, Linköping University

  Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking… (more)

Subjects/Keywords: evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m/n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking; Control Engineering; Reglerteknik

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

APA (6th Edition):

Vestin, A. (2019). Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

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):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Thesis, Linköping University. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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

MLA Handbook (7th Edition):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Web. 14 Nov 2019.

Vancouver:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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

Council of Science Editors:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

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

.