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You searched for subject:(Statistical inference Nonparametric tests ). Showing records 1 – 30 of 19892 total matches.

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1. Araújo, Larissa Barreto de. Inferência estatística sobre a qualidade do processo de compras públicas diretas em uma Instituição de ensino.

Degree: 2013, Universidade Federal do Amazonas

 Alavancado pelo processo da globalização, a qualidade tornou-se função decisiva para a conquista de clientes e competitividade. Assim, as organizações estão evoluindo para o aperfeiçoamento… (more)

Subjects/Keywords: Controle de Qualidade; Ciclo PDCA; Inferência estatística; Testes não paramétricos; PDCA Cycle; Statistical inference, Nonparametric tests.; ENGENHARIAS: ENGENHARIA DE PRODUÇÃO

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APA (6th Edition):

Araújo, L. B. d. (2013). Inferência estatística sobre a qualidade do processo de compras públicas diretas em uma Instituição de ensino. (Masters Thesis). Universidade Federal do Amazonas. Retrieved from http://tede.ufam.edu.br/handle/tede/3843

Chicago Manual of Style (16th Edition):

Araújo, Larissa Barreto de. “Inferência estatística sobre a qualidade do processo de compras públicas diretas em uma Instituição de ensino.” 2013. Masters Thesis, Universidade Federal do Amazonas. Accessed January 19, 2021. http://tede.ufam.edu.br/handle/tede/3843.

MLA Handbook (7th Edition):

Araújo, Larissa Barreto de. “Inferência estatística sobre a qualidade do processo de compras públicas diretas em uma Instituição de ensino.” 2013. Web. 19 Jan 2021.

Vancouver:

Araújo LBd. Inferência estatística sobre a qualidade do processo de compras públicas diretas em uma Instituição de ensino. [Internet] [Masters thesis]. Universidade Federal do Amazonas; 2013. [cited 2021 Jan 19]. Available from: http://tede.ufam.edu.br/handle/tede/3843.

Council of Science Editors:

Araújo LBd. Inferência estatística sobre a qualidade do processo de compras públicas diretas em uma Instituição de ensino. [Masters Thesis]. Universidade Federal do Amazonas; 2013. Available from: http://tede.ufam.edu.br/handle/tede/3843

2. Ara?jo, Larissa Barreto de. Infer?ncia estat?stica sobre a qualidade do processo de compras p?blicas diretas em uma Institui??o de ensino.

Degree: 2013, Universidade Federal do Amazonas

 Alavancado pelo processo da globaliza??o, a qualidade tornou-se fun??o decisiva para a conquista de clientes e competitividade. Assim, as organiza??es est?o evoluindo para o aperfei?oamento… (more)

Subjects/Keywords: Controle de Qualidade; Ciclo PDCA; Infer?ncia estat?stica; Testes n?o param?tricos; PDCA Cycle; Statistical inference, Nonparametric tests.; ENGENHARIAS: ENGENHARIA DE PRODU??O

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APA (6th Edition):

Ara?jo, L. B. d. (2013). Infer?ncia estat?stica sobre a qualidade do processo de compras p?blicas diretas em uma Institui??o de ensino. (Masters Thesis). Universidade Federal do Amazonas. Retrieved from http://tede.ufam.edu.br/handle/tede/3843

Chicago Manual of Style (16th Edition):

Ara?jo, Larissa Barreto de. “Infer?ncia estat?stica sobre a qualidade do processo de compras p?blicas diretas em uma Institui??o de ensino.” 2013. Masters Thesis, Universidade Federal do Amazonas. Accessed January 19, 2021. http://tede.ufam.edu.br/handle/tede/3843.

MLA Handbook (7th Edition):

Ara?jo, Larissa Barreto de. “Infer?ncia estat?stica sobre a qualidade do processo de compras p?blicas diretas em uma Institui??o de ensino.” 2013. Web. 19 Jan 2021.

Vancouver:

Ara?jo LBd. Infer?ncia estat?stica sobre a qualidade do processo de compras p?blicas diretas em uma Institui??o de ensino. [Internet] [Masters thesis]. Universidade Federal do Amazonas; 2013. [cited 2021 Jan 19]. Available from: http://tede.ufam.edu.br/handle/tede/3843.

Council of Science Editors:

Ara?jo LBd. Infer?ncia estat?stica sobre a qualidade do processo de compras p?blicas diretas em uma Institui??o de ensino. [Masters Thesis]. Universidade Federal do Amazonas; 2013. Available from: http://tede.ufam.edu.br/handle/tede/3843


Western Michigan University

3. Dykes, Bradford M. Some Nonparametric Ordered Restricted Inference Problems in the Context of a Statistical Education Study.

Degree: PhD, Statistics, 2016, Western Michigan University

  Over the past 10 years, the Department of Statistics at Western Michigan University has developed a question generating system that can be used for… (more)

Subjects/Keywords: Nonparametric methods; online feedback; statistical computation; restricted inference problems; statistical education study statistics; Applied Statistics; Design of Experiments and Sample Surveys

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APA (6th Edition):

Dykes, B. M. (2016). Some Nonparametric Ordered Restricted Inference Problems in the Context of a Statistical Education Study. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/1958

Chicago Manual of Style (16th Edition):

Dykes, Bradford M. “Some Nonparametric Ordered Restricted Inference Problems in the Context of a Statistical Education Study.” 2016. Doctoral Dissertation, Western Michigan University. Accessed January 19, 2021. https://scholarworks.wmich.edu/dissertations/1958.

MLA Handbook (7th Edition):

Dykes, Bradford M. “Some Nonparametric Ordered Restricted Inference Problems in the Context of a Statistical Education Study.” 2016. Web. 19 Jan 2021.

Vancouver:

Dykes BM. Some Nonparametric Ordered Restricted Inference Problems in the Context of a Statistical Education Study. [Internet] [Doctoral dissertation]. Western Michigan University; 2016. [cited 2021 Jan 19]. Available from: https://scholarworks.wmich.edu/dissertations/1958.

Council of Science Editors:

Dykes BM. Some Nonparametric Ordered Restricted Inference Problems in the Context of a Statistical Education Study. [Doctoral Dissertation]. Western Michigan University; 2016. Available from: https://scholarworks.wmich.edu/dissertations/1958


University of North Texas

4. Chen, Andrew H. (Andrew Hwa-Fen). Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale.

Degree: 1994, University of North Texas

 The purpose of this research was to evaluate the effect on parametric and nonparametric tests using ordinal data when the distances between points changed on… (more)

Subjects/Keywords: parametric tests; nonparametric tests; Mathematical statistics.; Statistical hypothesis testing.

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APA (6th Edition):

Chen, A. H. (. H. (1994). Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc278300/

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):

Chen, Andrew H (Andrew Hwa-Fen). “Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale.” 1994. Thesis, University of North Texas. Accessed January 19, 2021. https://digital.library.unt.edu/ark:/67531/metadc278300/.

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

MLA Handbook (7th Edition):

Chen, Andrew H (Andrew Hwa-Fen). “Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale.” 1994. Web. 19 Jan 2021.

Vancouver:

Chen AH(H. Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale. [Internet] [Thesis]. University of North Texas; 1994. [cited 2021 Jan 19]. Available from: https://digital.library.unt.edu/ark:/67531/metadc278300/.

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

Council of Science Editors:

Chen AH(H. Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale. [Thesis]. University of North Texas; 1994. Available from: https://digital.library.unt.edu/ark:/67531/metadc278300/

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


Tampere University

5. Lu, Chien. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .

Degree: 2018, Tampere University

 Entropy estimation is an important technique to summarize the uncertainty of a distribution underlying a set of samples. It ties to important research problems in… (more)

Subjects/Keywords: entropy estimation; nonparametric estimator; Bayesian inference

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APA (6th Edition):

Lu, C. (2018). An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/104066

Chicago Manual of Style (16th Edition):

Lu, Chien. “An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .” 2018. Masters Thesis, Tampere University. Accessed January 19, 2021. https://trepo.tuni.fi/handle/10024/104066.

MLA Handbook (7th Edition):

Lu, Chien. “An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .” 2018. Web. 19 Jan 2021.

Vancouver:

Lu C. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . [Internet] [Masters thesis]. Tampere University; 2018. [cited 2021 Jan 19]. Available from: https://trepo.tuni.fi/handle/10024/104066.

Council of Science Editors:

Lu C. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/104066


University of Kentucky

6. Li, Yuntong. Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups.

Degree: 2020, University of Kentucky

 Comparing the distribution of biomarker measurements between two groups under either an unpaired or paired design is a common goal in many biomarker studies. However,… (more)

Subjects/Keywords: Biomarker; Differential abundance analysis; Semi-parametric log-linear model; Nonparametric tests; Optimum weights; Missing data; Applied Statistics; Biostatistics; Statistical Methodology; Statistical Models

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APA (6th Edition):

Li, Y. (2020). Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/44

Chicago Manual of Style (16th Edition):

Li, Yuntong. “Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups.” 2020. Doctoral Dissertation, University of Kentucky. Accessed January 19, 2021. https://uknowledge.uky.edu/statistics_etds/44.

MLA Handbook (7th Edition):

Li, Yuntong. “Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups.” 2020. Web. 19 Jan 2021.

Vancouver:

Li Y. Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups. [Internet] [Doctoral dissertation]. University of Kentucky; 2020. [cited 2021 Jan 19]. Available from: https://uknowledge.uky.edu/statistics_etds/44.

Council of Science Editors:

Li Y. Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups. [Doctoral Dissertation]. University of Kentucky; 2020. Available from: https://uknowledge.uky.edu/statistics_etds/44


Leiden University

7. Linting, M. Nonparametric inference in nonlinear principal components analysis: Exploration and beyond.

Degree: 2007, Leiden University

 In the social and behavioral sciences, data sets often do not meet the assumptions of traditional analysis methods. Therefore, nonlinear alternatives to traditional methods have… (more)

Subjects/Keywords: Nonlinear principal components analysis; PCA; CATPCA; Optimal scaling; Nonparametric inference; Nonparametric bootstrap; Permutation tests; Nonlinear principal components analysis; PCA; CATPCA; Optimal scaling; Nonparametric inference; Nonparametric bootstrap; Permutation tests

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APA (6th Edition):

Linting, M. (2007). Nonparametric inference in nonlinear principal components analysis: Exploration and beyond. (Doctoral Dissertation). Leiden University. Retrieved from http://hdl.handle.net/1887/12386

Chicago Manual of Style (16th Edition):

Linting, M. “Nonparametric inference in nonlinear principal components analysis: Exploration and beyond.” 2007. Doctoral Dissertation, Leiden University. Accessed January 19, 2021. http://hdl.handle.net/1887/12386.

MLA Handbook (7th Edition):

Linting, M. “Nonparametric inference in nonlinear principal components analysis: Exploration and beyond.” 2007. Web. 19 Jan 2021.

Vancouver:

Linting M. Nonparametric inference in nonlinear principal components analysis: Exploration and beyond. [Internet] [Doctoral dissertation]. Leiden University; 2007. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1887/12386.

Council of Science Editors:

Linting M. Nonparametric inference in nonlinear principal components analysis: Exploration and beyond. [Doctoral Dissertation]. Leiden University; 2007. Available from: http://hdl.handle.net/1887/12386


Carnegie Mellon University

8. Liu, Han. Nonparametric Learning in High Dimensions.

Degree: 2010, Carnegie Mellon University

 This thesis develops flexible and principled nonparametric learning algorithms to explore, understand, and predict high dimensional and complex datasets. Such data appear frequently in modern… (more)

Subjects/Keywords: machine learning; statistical inference; nonparametric methods; curse of dimensionality; regression; classification; multi-task learning; density estimation; undirected graphical models; structure learning; spatial-temporal adaptive learning

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APA (6th Edition):

Liu, H. (2010). Nonparametric Learning in High Dimensions. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/16

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):

Liu, Han. “Nonparametric Learning in High Dimensions.” 2010. Thesis, Carnegie Mellon University. Accessed January 19, 2021. http://repository.cmu.edu/dissertations/16.

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

MLA Handbook (7th Edition):

Liu, Han. “Nonparametric Learning in High Dimensions.” 2010. Web. 19 Jan 2021.

Vancouver:

Liu H. Nonparametric Learning in High Dimensions. [Internet] [Thesis]. Carnegie Mellon University; 2010. [cited 2021 Jan 19]. Available from: http://repository.cmu.edu/dissertations/16.

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

Council of Science Editors:

Liu H. Nonparametric Learning in High Dimensions. [Thesis]. Carnegie Mellon University; 2010. Available from: http://repository.cmu.edu/dissertations/16

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


Université Paris-Sud – Paris XI

9. Dumont, Thierry. Contributions à la localisation intra-muros. De la modélisation à la calibration théorique et pratique d'estimateurs : Contributions to the indoor localisation. From the modelization to the theoretical and practical calibration of estimators.

Degree: Docteur es, Mathématiques, 2012, Université Paris-Sud – Paris XI

Préfigurant la prochaine grande étape dans le domaine de la navigation, la géolocalisation intra-muros est un domaine de recherche très actif depuis quelques années. Alors… (more)

Subjects/Keywords: Localisation intra-muros; WiFi; Modèles de Markov cachés; Inférence statistique; Estimation non-paramétrique; Estimation en ligne; Indoor localization; WiFi; Hidden Markov models; Statistical inference; Nonparametric estimation; Online estimation

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APA (6th Edition):

Dumont, T. (2012). Contributions à la localisation intra-muros. De la modélisation à la calibration théorique et pratique d'estimateurs : Contributions to the indoor localisation. From the modelization to the theoretical and practical calibration of estimators. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2012PA112379

Chicago Manual of Style (16th Edition):

Dumont, Thierry. “Contributions à la localisation intra-muros. De la modélisation à la calibration théorique et pratique d'estimateurs : Contributions to the indoor localisation. From the modelization to the theoretical and practical calibration of estimators.” 2012. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed January 19, 2021. http://www.theses.fr/2012PA112379.

MLA Handbook (7th Edition):

Dumont, Thierry. “Contributions à la localisation intra-muros. De la modélisation à la calibration théorique et pratique d'estimateurs : Contributions to the indoor localisation. From the modelization to the theoretical and practical calibration of estimators.” 2012. Web. 19 Jan 2021.

Vancouver:

Dumont T. Contributions à la localisation intra-muros. De la modélisation à la calibration théorique et pratique d'estimateurs : Contributions to the indoor localisation. From the modelization to the theoretical and practical calibration of estimators. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2012. [cited 2021 Jan 19]. Available from: http://www.theses.fr/2012PA112379.

Council of Science Editors:

Dumont T. Contributions à la localisation intra-muros. De la modélisation à la calibration théorique et pratique d'estimateurs : Contributions to the indoor localisation. From the modelization to the theoretical and practical calibration of estimators. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2012. Available from: http://www.theses.fr/2012PA112379


Kansas State University

10. Von Borries, George Freitas. Partition clustering of High Dimensional Low Sample Size data based on P-Values.

Degree: PhD, Department of Statistics, 2008, Kansas State University

 This thesis introduces a new partitioning algorithm to cluster variables in high dimensional low sample size (HDLSS) data and high dimensional longitudinal low sample size… (more)

Subjects/Keywords: High Dimensional Data; Clustering; Nonparametric Inference; Bioinformatics; Statistical Learning; Data Mining; Statistics (0463)

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APA (6th Edition):

Von Borries, G. F. (2008). Partition clustering of High Dimensional Low Sample Size data based on P-Values. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/590

Chicago Manual of Style (16th Edition):

Von Borries, George Freitas. “Partition clustering of High Dimensional Low Sample Size data based on P-Values.” 2008. Doctoral Dissertation, Kansas State University. Accessed January 19, 2021. http://hdl.handle.net/2097/590.

MLA Handbook (7th Edition):

Von Borries, George Freitas. “Partition clustering of High Dimensional Low Sample Size data based on P-Values.” 2008. Web. 19 Jan 2021.

Vancouver:

Von Borries GF. Partition clustering of High Dimensional Low Sample Size data based on P-Values. [Internet] [Doctoral dissertation]. Kansas State University; 2008. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2097/590.

Council of Science Editors:

Von Borries GF. Partition clustering of High Dimensional Low Sample Size data based on P-Values. [Doctoral Dissertation]. Kansas State University; 2008. Available from: http://hdl.handle.net/2097/590


University of Canterbury

11. Harlow, Jennifer. Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference.

Degree: MS, Statistics, 2013, University of Canterbury

 A regular paving (RP) is a finite succession of bisections that partitions a multidimensional box into sub-boxes using a binary tree-based data structure, with the… (more)

Subjects/Keywords: statistical regular paving; real-mapped regular paving; data-adaptive histogram; multivariate histogram; nonparametric density estimation; Markov Chain Monte Carlo; regular paving approximate Bayesian computation; simulation-intensive inference

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APA (6th Edition):

Harlow, J. (2013). Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/1899

Chicago Manual of Style (16th Edition):

Harlow, Jennifer. “Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference.” 2013. Masters Thesis, University of Canterbury. Accessed January 19, 2021. http://dx.doi.org/10.26021/1899.

MLA Handbook (7th Edition):

Harlow, Jennifer. “Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference.” 2013. Web. 19 Jan 2021.

Vancouver:

Harlow J. Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference. [Internet] [Masters thesis]. University of Canterbury; 2013. [cited 2021 Jan 19]. Available from: http://dx.doi.org/10.26021/1899.

Council of Science Editors:

Harlow J. Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference. [Masters Thesis]. University of Canterbury; 2013. Available from: http://dx.doi.org/10.26021/1899

12. Brécheteau, Claire. Vers une vision robuste de l'inférence géométrique : Toward a Robust Vision of Geometrical Inference.

Degree: Docteur es, Mathématiques appliquées, 2018, Université Paris-Saclay (ComUE)

Le volume de données disponibles est en perpétuelle expansion. Il est primordial de fournir des méthodes efficaces et robustes permettant d'en extraire des informations pertinentes.… (more)

Subjects/Keywords: Analyse géométrique des données; Distance à la mesure; Tests statistiques; Partitionnement; Quantification; Inférence de support; Geometric data analysis; Distance-To-Measure; Statistical tests; Clustering; Quantization; Support inference

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APA (6th Edition):

Brécheteau, C. (2018). Vers une vision robuste de l'inférence géométrique : Toward a Robust Vision of Geometrical Inference. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLS334

Chicago Manual of Style (16th Edition):

Brécheteau, Claire. “Vers une vision robuste de l'inférence géométrique : Toward a Robust Vision of Geometrical Inference.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed January 19, 2021. http://www.theses.fr/2018SACLS334.

MLA Handbook (7th Edition):

Brécheteau, Claire. “Vers une vision robuste de l'inférence géométrique : Toward a Robust Vision of Geometrical Inference.” 2018. Web. 19 Jan 2021.

Vancouver:

Brécheteau C. Vers une vision robuste de l'inférence géométrique : Toward a Robust Vision of Geometrical Inference. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Jan 19]. Available from: http://www.theses.fr/2018SACLS334.

Council of Science Editors:

Brécheteau C. Vers une vision robuste de l'inférence géométrique : Toward a Robust Vision of Geometrical Inference. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLS334


Columbia University

13. Resa Juárez, María de los Angeles. Essays on Matching and Weighting for Causal Inference in Observational Studies.

Degree: 2017, Columbia University

 This thesis consists of three papers on matching and weighting methods for causal inference. The first paper conducts a Monte Carlo simulation study to evaluate… (more)

Subjects/Keywords: Statistics; Inference; Statistical matching; Probabilities

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APA (6th Edition):

Resa Juárez, M. d. l. A. (2017). Essays on Matching and Weighting for Causal Inference in Observational Studies. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8959W4H

Chicago Manual of Style (16th Edition):

Resa Juárez, María de los Angeles. “Essays on Matching and Weighting for Causal Inference in Observational Studies.” 2017. Doctoral Dissertation, Columbia University. Accessed January 19, 2021. https://doi.org/10.7916/D8959W4H.

MLA Handbook (7th Edition):

Resa Juárez, María de los Angeles. “Essays on Matching and Weighting for Causal Inference in Observational Studies.” 2017. Web. 19 Jan 2021.

Vancouver:

Resa Juárez MdlA. Essays on Matching and Weighting for Causal Inference in Observational Studies. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2021 Jan 19]. Available from: https://doi.org/10.7916/D8959W4H.

Council of Science Editors:

Resa Juárez MdlA. Essays on Matching and Weighting for Causal Inference in Observational Studies. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8959W4H


Princeton University

14. Zhao, Tianqi. Statistical Inference for Big Data .

Degree: PhD, 2017, Princeton University

 This dissertation develops novel inferential methods and theory for assessing uncertainty of modern statistical procedures unique to big data analysis. In particular, we mainly focus… (more)

Subjects/Keywords: Big Data; Statistical Inference

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APA (6th Edition):

Zhao, T. (2017). Statistical Inference for Big Data . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp017d278w62w

Chicago Manual of Style (16th Edition):

Zhao, Tianqi. “Statistical Inference for Big Data .” 2017. Doctoral Dissertation, Princeton University. Accessed January 19, 2021. http://arks.princeton.edu/ark:/88435/dsp017d278w62w.

MLA Handbook (7th Edition):

Zhao, Tianqi. “Statistical Inference for Big Data .” 2017. Web. 19 Jan 2021.

Vancouver:

Zhao T. Statistical Inference for Big Data . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2021 Jan 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp017d278w62w.

Council of Science Editors:

Zhao T. Statistical Inference for Big Data . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp017d278w62w


University of Illinois – Urbana-Champaign

15. Xu, Jiaming. Statistical inference in networks: fundamental limits and efficient algorithms.

Degree: PhD, 1200, 2015, University of Illinois – Urbana-Champaign

 Today witnesses an explosion of data coming from various types of networks such as online social networks and biological networks. The goal of this thesis… (more)

Subjects/Keywords: Community detection; Networks; Statistical inference

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APA (6th Edition):

Xu, J. (2015). Statistical inference in networks: fundamental limits and efficient algorithms. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72799

Chicago Manual of Style (16th Edition):

Xu, Jiaming. “Statistical inference in networks: fundamental limits and efficient algorithms.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 19, 2021. http://hdl.handle.net/2142/72799.

MLA Handbook (7th Edition):

Xu, Jiaming. “Statistical inference in networks: fundamental limits and efficient algorithms.” 2015. Web. 19 Jan 2021.

Vancouver:

Xu J. Statistical inference in networks: fundamental limits and efficient algorithms. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2142/72799.

Council of Science Editors:

Xu J. Statistical inference in networks: fundamental limits and efficient algorithms. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72799


University of New Orleans

16. Nguyen, Trang. Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking.

Degree: MS, Electrical Engineering, 2003, University of New Orleans

 Nonlinear filtering is certainly very important in estimation since most real-world problems are nonlinear. Recently a considerable progress in the nonlinear filtering theory has been… (more)

Subjects/Keywords: statistical inference

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APA (6th Edition):

Nguyen, T. (2003). Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/20

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):

Nguyen, Trang. “Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking.” 2003. Thesis, University of New Orleans. Accessed January 19, 2021. https://scholarworks.uno.edu/td/20.

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

MLA Handbook (7th Edition):

Nguyen, Trang. “Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking.” 2003. Web. 19 Jan 2021.

Vancouver:

Nguyen T. Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking. [Internet] [Thesis]. University of New Orleans; 2003. [cited 2021 Jan 19]. Available from: https://scholarworks.uno.edu/td/20.

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

Council of Science Editors:

Nguyen T. Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking. [Thesis]. University of New Orleans; 2003. Available from: https://scholarworks.uno.edu/td/20

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


University of New South Wales

17. Stindl, Tom. Statistical inference for renewal Hawkes self-exciting point processes.

Degree: Mathematics & Statistics, 2019, University of New South Wales

 The class of self-exciting point process evolve within a self-excitation mechanism that allows past events to contribute to the arrival rate of future events. The… (more)

Subjects/Keywords: Renewal Hawkes process; Statistical inference

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APA (6th Edition):

Stindl, T. (2019). Statistical inference for renewal Hawkes self-exciting point processes. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/64899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:62891/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Stindl, Tom. “Statistical inference for renewal Hawkes self-exciting point processes.” 2019. Doctoral Dissertation, University of New South Wales. Accessed January 19, 2021. http://handle.unsw.edu.au/1959.4/64899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:62891/SOURCE02?view=true.

MLA Handbook (7th Edition):

Stindl, Tom. “Statistical inference for renewal Hawkes self-exciting point processes.” 2019. Web. 19 Jan 2021.

Vancouver:

Stindl T. Statistical inference for renewal Hawkes self-exciting point processes. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Jan 19]. Available from: http://handle.unsw.edu.au/1959.4/64899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:62891/SOURCE02?view=true.

Council of Science Editors:

Stindl T. Statistical inference for renewal Hawkes self-exciting point processes. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/64899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:62891/SOURCE02?view=true


Colorado State University

18. Liu, Teng. Nonparametric tests for informative selection and small area estimation for reconciling survey estimates.

Degree: PhD, Statistics, 2020, Colorado State University

 Two topics in the analysis of complex survey data are addressed: testing for informative selection and addressing temporal discontinuities due to survey redesign. Informative selection,… (more)

Subjects/Keywords: nonparametric tests; informative selection; small area estimation

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APA (6th Edition):

Liu, T. (2020). Nonparametric tests for informative selection and small area estimation for reconciling survey estimates. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/211817

Chicago Manual of Style (16th Edition):

Liu, Teng. “Nonparametric tests for informative selection and small area estimation for reconciling survey estimates.” 2020. Doctoral Dissertation, Colorado State University. Accessed January 19, 2021. http://hdl.handle.net/10217/211817.

MLA Handbook (7th Edition):

Liu, Teng. “Nonparametric tests for informative selection and small area estimation for reconciling survey estimates.” 2020. Web. 19 Jan 2021.

Vancouver:

Liu T. Nonparametric tests for informative selection and small area estimation for reconciling survey estimates. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10217/211817.

Council of Science Editors:

Liu T. Nonparametric tests for informative selection and small area estimation for reconciling survey estimates. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/211817


University of Waterloo

19. Tian, Zhaoyang. Nonparametric Estimation in a Compound Mixture Model and False Discovery Rate Control with Auxiliary Information.

Degree: 2020, University of Waterloo

 In this thesis, we focus on two important statistical problems. The first is the nonparametric estimation in a compound mixture model with application to the… (more)

Subjects/Keywords: Nonparametric statistics; Malaria; Testing; Statistical methods

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APA (6th Edition):

Tian, Z. (2020). Nonparametric Estimation in a Compound Mixture Model and False Discovery Rate Control with Auxiliary Information. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15867

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):

Tian, Zhaoyang. “Nonparametric Estimation in a Compound Mixture Model and False Discovery Rate Control with Auxiliary Information.” 2020. Thesis, University of Waterloo. Accessed January 19, 2021. http://hdl.handle.net/10012/15867.

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

MLA Handbook (7th Edition):

Tian, Zhaoyang. “Nonparametric Estimation in a Compound Mixture Model and False Discovery Rate Control with Auxiliary Information.” 2020. Web. 19 Jan 2021.

Vancouver:

Tian Z. Nonparametric Estimation in a Compound Mixture Model and False Discovery Rate Control with Auxiliary Information. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10012/15867.

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

Council of Science Editors:

Tian Z. Nonparametric Estimation in a Compound Mixture Model and False Discovery Rate Control with Auxiliary Information. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15867

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


Colorado State University

20. Sonderegger, Derek Lee. Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications.

Degree: PhD, Statistics, 2010, Colorado State University

Nonparametric function estimation has proven to be a useful tool for applied statisticians. Classic techniques such as locally weighted regression and smoothing splines are being… (more)

Subjects/Keywords: spline; fiducial inference; smoothing; free-knot; Nonparametric statistics; Splines; Ecology  – Research  – Statistical methods; Bayesian statistical decision theory

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APA (6th Edition):

Sonderegger, D. L. (2010). Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/39050

Chicago Manual of Style (16th Edition):

Sonderegger, Derek Lee. “Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications.” 2010. Doctoral Dissertation, Colorado State University. Accessed January 19, 2021. http://hdl.handle.net/10217/39050.

MLA Handbook (7th Edition):

Sonderegger, Derek Lee. “Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications.” 2010. Web. 19 Jan 2021.

Vancouver:

Sonderegger DL. Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10217/39050.

Council of Science Editors:

Sonderegger DL. Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/39050


Penn State University

21. Xiong, Sihan. BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS.

Degree: 2018, Penn State University

 This thesis proposes a Bayesian nonparametric model of categorical data, which can be used for casual inference of time series, information fusion of heterogeneous sources… (more)

Subjects/Keywords: Bayesian nonparametric; Causal inference; Panel Data; Variational Inference; Sequential Classification; Information fusion

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APA (6th Edition):

Xiong, S. (2018). BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14985sux101

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):

Xiong, Sihan. “BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS.” 2018. Thesis, Penn State University. Accessed January 19, 2021. https://submit-etda.libraries.psu.edu/catalog/14985sux101.

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

MLA Handbook (7th Edition):

Xiong, Sihan. “BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS.” 2018. Web. 19 Jan 2021.

Vancouver:

Xiong S. BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Jan 19]. Available from: https://submit-etda.libraries.psu.edu/catalog/14985sux101.

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

Council of Science Editors:

Xiong S. BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/14985sux101

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

22. Linero, Antonio Richardo. Nonparametric Bayes Inference under Nonignorable Missingness and Model Selection.

Degree: PhD, Statistics, 2015, University of Florida

 This dissertation concerns two essentially independent topics, with the primary link between the two being the use of Bayesian nonparametrics as an inference tool. The… (more)

Subjects/Keywords: Inference; Markov chains; Missing data; Modeling; Nonparametric models; Parametric models; School dropouts; Sensitivity analysis; Statistical models; Statistics; bayesian  – nonignorable  – nonparametric

NONPARAMETRIC BAYES: INFERENCE UNDER NONIGNORABLE MISSINGNESS AND MODEL SELECTION By Antonio Linero… …submodels, effectively giving tests of nonparametric models. Chapter 1 and Chapter 2 provide some… …hierarchical Dirichlet processes to construct tests of nonparametric models against semiparametric… …provide motivation for taking the Bayesian nonparametric approach to conducting inference on… …inference, nonparametric Bayesian methods appear to be the natural choice. Beyond flexible… 

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APA (6th Edition):

Linero, A. R. (2015). Nonparametric Bayes Inference under Nonignorable Missingness and Model Selection. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049143

Chicago Manual of Style (16th Edition):

Linero, Antonio Richardo. “Nonparametric Bayes Inference under Nonignorable Missingness and Model Selection.” 2015. Doctoral Dissertation, University of Florida. Accessed January 19, 2021. https://ufdc.ufl.edu/UFE0049143.

MLA Handbook (7th Edition):

Linero, Antonio Richardo. “Nonparametric Bayes Inference under Nonignorable Missingness and Model Selection.” 2015. Web. 19 Jan 2021.

Vancouver:

Linero AR. Nonparametric Bayes Inference under Nonignorable Missingness and Model Selection. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 Jan 19]. Available from: https://ufdc.ufl.edu/UFE0049143.

Council of Science Editors:

Linero AR. Nonparametric Bayes Inference under Nonignorable Missingness and Model Selection. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049143


University of Michigan

23. Lin, Danyu. Goodness-of-fit tests and robust statistical inference for the Cox proportional hazards model.

Degree: PhD, Biostatistics, 1989, University of Michigan

 The Cox proportional hazards model is a popular statistical tool for analyzing censored failure time data. It assumes the inclusion of all relevant covariates, the… (more)

Subjects/Keywords: Cox; Fit; Goodness; Hazards; Model; Of; Proportional; Robust; Statistical Inference; Tests

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APA (6th Edition):

Lin, D. (1989). Goodness-of-fit tests and robust statistical inference for the Cox proportional hazards model. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/128378

Chicago Manual of Style (16th Edition):

Lin, Danyu. “Goodness-of-fit tests and robust statistical inference for the Cox proportional hazards model.” 1989. Doctoral Dissertation, University of Michigan. Accessed January 19, 2021. http://hdl.handle.net/2027.42/128378.

MLA Handbook (7th Edition):

Lin, Danyu. “Goodness-of-fit tests and robust statistical inference for the Cox proportional hazards model.” 1989. Web. 19 Jan 2021.

Vancouver:

Lin D. Goodness-of-fit tests and robust statistical inference for the Cox proportional hazards model. [Internet] [Doctoral dissertation]. University of Michigan; 1989. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2027.42/128378.

Council of Science Editors:

Lin D. Goodness-of-fit tests and robust statistical inference for the Cox proportional hazards model. [Doctoral Dissertation]. University of Michigan; 1989. Available from: http://hdl.handle.net/2027.42/128378


University of Hong Kong

24. 胡寶璇. Parametric inference for time series based upon goodness-of-fit.

Degree: 2001, University of Hong Kong

Subjects/Keywords: Time-series analysis - Statistical methods.; Inference.; Goodness-of-fit tests.

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APA (6th Edition):

胡寶璇. (2001). Parametric inference for time series based upon goodness-of-fit. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/33597

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

Chicago Manual of Style (16th Edition):

胡寶璇. “Parametric inference for time series based upon goodness-of-fit.” 2001. Thesis, University of Hong Kong. Accessed January 19, 2021. http://hdl.handle.net/10722/33597.

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

MLA Handbook (7th Edition):

胡寶璇. “Parametric inference for time series based upon goodness-of-fit.” 2001. Web. 19 Jan 2021.

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

Vancouver:

胡寶璇. Parametric inference for time series based upon goodness-of-fit. [Internet] [Thesis]. University of Hong Kong; 2001. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10722/33597.

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

Council of Science Editors:

胡寶璇. Parametric inference for time series based upon goodness-of-fit. [Thesis]. University of Hong Kong; 2001. Available from: http://hdl.handle.net/10722/33597

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

25. Vegetabile, Brian Garrett. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.

Degree: Statistics, 2018, University of California – Irvine

 The most basic approach to causal inference measures the response of a system or population to different exposures, or treatments, and compares one or more… (more)

Subjects/Keywords: Statistics; Balancing Scores; Causal Inference; Nonparametric Estimation; Optimization; Propensity Scores

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

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APA (6th Edition):

Vegetabile, B. G. (2018). Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9f65n5h1

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):

Vegetabile, Brian Garrett. “Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.” 2018. Thesis, University of California – Irvine. Accessed January 19, 2021. http://www.escholarship.org/uc/item/9f65n5h1.

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

MLA Handbook (7th Edition):

Vegetabile, Brian Garrett. “Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.” 2018. Web. 19 Jan 2021.

Vancouver:

Vegetabile BG. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2021 Jan 19]. Available from: http://www.escholarship.org/uc/item/9f65n5h1.

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

Council of Science Editors:

Vegetabile BG. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9f65n5h1

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


University of Ottawa

26. Han, Xuejun. On Nonparametric Bayesian Inference for Tukey Depth .

Degree: 2017, University of Ottawa

 The Dirichlet process is perhaps the most popular prior used in the nonparametric Bayesian inference. This prior which is placed on the space of probability… (more)

Subjects/Keywords: Nonparametric Bayesian Inference; Dirichlet Process; Data Depth; Tukey Depth

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APA (6th Edition):

Han, X. (2017). On Nonparametric Bayesian Inference for Tukey Depth . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36533

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):

Han, Xuejun. “On Nonparametric Bayesian Inference for Tukey Depth .” 2017. Thesis, University of Ottawa. Accessed January 19, 2021. http://hdl.handle.net/10393/36533.

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

MLA Handbook (7th Edition):

Han, Xuejun. “On Nonparametric Bayesian Inference for Tukey Depth .” 2017. Web. 19 Jan 2021.

Vancouver:

Han X. On Nonparametric Bayesian Inference for Tukey Depth . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10393/36533.

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

Council of Science Editors:

Han X. On Nonparametric Bayesian Inference for Tukey Depth . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36533

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


University of Washington

27. Marsh, Tracey Lynn. Distribution-Free Approaches to Assessing the Potential Clinical Impact of Biomarkers.

Degree: PhD, 2017, University of Washington

 Recent advances in basic science, combined with new technologies that enable measurement of sophisticated biological processes, present numerous opportunities for advancing the clinical care of… (more)

Subjects/Keywords: Biomarkers; Clinical Decision Rules; Inference; Interaction; Net Benefit; Nonparametric; Biostatistics; Biostatistics

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APA (6th Edition):

Marsh, T. L. (2017). Distribution-Free Approaches to Assessing the Potential Clinical Impact of Biomarkers. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40505

Chicago Manual of Style (16th Edition):

Marsh, Tracey Lynn. “Distribution-Free Approaches to Assessing the Potential Clinical Impact of Biomarkers.” 2017. Doctoral Dissertation, University of Washington. Accessed January 19, 2021. http://hdl.handle.net/1773/40505.

MLA Handbook (7th Edition):

Marsh, Tracey Lynn. “Distribution-Free Approaches to Assessing the Potential Clinical Impact of Biomarkers.” 2017. Web. 19 Jan 2021.

Vancouver:

Marsh TL. Distribution-Free Approaches to Assessing the Potential Clinical Impact of Biomarkers. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1773/40505.

Council of Science Editors:

Marsh TL. Distribution-Free Approaches to Assessing the Potential Clinical Impact of Biomarkers. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40505


University of Toronto

28. Guimond, Tim Henry. A Nonparametric Bayesian Approach to Causal Modelling.

Degree: PhD, 2018, University of Toronto

 The Dirichlet process mixture regression (DPMR) method is a technique to produce a very flexible regression model using Bayesian principles based on data clusters. The… (more)

Subjects/Keywords: Bayesian; Causal inference; Dirichlet process; Nonparametric statistics; 0308

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APA (6th Edition):

Guimond, T. H. (2018). A Nonparametric Bayesian Approach to Causal Modelling. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/91855

Chicago Manual of Style (16th Edition):

Guimond, Tim Henry. “A Nonparametric Bayesian Approach to Causal Modelling.” 2018. Doctoral Dissertation, University of Toronto. Accessed January 19, 2021. http://hdl.handle.net/1807/91855.

MLA Handbook (7th Edition):

Guimond, Tim Henry. “A Nonparametric Bayesian Approach to Causal Modelling.” 2018. Web. 19 Jan 2021.

Vancouver:

Guimond TH. A Nonparametric Bayesian Approach to Causal Modelling. [Internet] [Doctoral dissertation]. University of Toronto; 2018. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1807/91855.

Council of Science Editors:

Guimond TH. A Nonparametric Bayesian Approach to Causal Modelling. [Doctoral Dissertation]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91855


Duke University

29. Vogt, Erik. Essays on the Econometrics of Option Prices .

Degree: 2014, Duke University

  This dissertation develops new econometric techniques for use in estimating and conducting inference on parameters that can be identified from option prices. The techniques… (more)

Subjects/Keywords: Economics; Finance; Inference; Nonparametric; Option Pricing; Sieve Estimation; State-Price Density

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APA (6th Edition):

Vogt, E. (2014). Essays on the Econometrics of Option Prices . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/8692

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):

Vogt, Erik. “Essays on the Econometrics of Option Prices .” 2014. Thesis, Duke University. Accessed January 19, 2021. http://hdl.handle.net/10161/8692.

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

MLA Handbook (7th Edition):

Vogt, Erik. “Essays on the Econometrics of Option Prices .” 2014. Web. 19 Jan 2021.

Vancouver:

Vogt E. Essays on the Econometrics of Option Prices . [Internet] [Thesis]. Duke University; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10161/8692.

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

Council of Science Editors:

Vogt E. Essays on the Econometrics of Option Prices . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/8692

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

30. Tang, Chuan-Fa. Nonparametric Inference for Orderings and Associations Between two Random Variables.

Degree: PhD, Statistics, 2017, University of South Carolina

  Ordering and dependency are two aspects to describe the relationship between two random variables. In this thesis, we choose two hypothesis testing problems to… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Nonparametric Inference; Random Variables

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APA (6th Edition):

Tang, C. (2017). Nonparametric Inference for Orderings and Associations Between two Random Variables. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4356

Chicago Manual of Style (16th Edition):

Tang, Chuan-Fa. “Nonparametric Inference for Orderings and Associations Between two Random Variables.” 2017. Doctoral Dissertation, University of South Carolina. Accessed January 19, 2021. https://scholarcommons.sc.edu/etd/4356.

MLA Handbook (7th Edition):

Tang, Chuan-Fa. “Nonparametric Inference for Orderings and Associations Between two Random Variables.” 2017. Web. 19 Jan 2021.

Vancouver:

Tang C. Nonparametric Inference for Orderings and Associations Between two Random Variables. [Internet] [Doctoral dissertation]. University of South Carolina; 2017. [cited 2021 Jan 19]. Available from: https://scholarcommons.sc.edu/etd/4356.

Council of Science Editors:

Tang C. Nonparametric Inference for Orderings and Associations Between two Random Variables. [Doctoral Dissertation]. University of South Carolina; 2017. Available from: https://scholarcommons.sc.edu/etd/4356

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