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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

URL: http://tede.ufam.edu.br/handle/tede/3843

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://tede.ufam.edu.br/handle/tede/3843

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.wmich.edu/dissertations/1958

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://digital.library.unt.edu/ark:/67531/metadc278300/

► 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.

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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/

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

URL: https://trepo.tuni.fi/handle/10024/104066

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://uknowledge.uky.edu/statistics_etds/44

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1887/12386

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://repository.cmu.edu/dissertations/16

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://www.theses.fr/2012PA112379

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/590

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://dx.doi.org/10.26021/1899

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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)

URL: http://www.theses.fr/2018SACLS334

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.7916/D8959W4H

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://arks.princeton.edu/ark:/88435/dsp017d278w62w

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2142/72799

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.uno.edu/td/20

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://handle.unsw.edu.au/1959.4/64899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:62891/SOURCE02?view=true

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10217/211817

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10012/15867

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

Colorado State University

20.
Sonderegger, Derek Lee.
* Nonparametric* function smoothing: fiducial

Degree: PhD, Statistics, 2010, Colorado State University

URL: http://hdl.handle.net/10217/39050

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://submit-etda.libraries.psu.edu/catalog/14985sux101

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

22.
Linero, Antonio Richardo.
* Nonparametric* Bayes

Degree: PhD, Statistics, 2015, University of Florida

URL: https://ufdc.ufl.edu/UFE0049143

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/128378

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10722/33597

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

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://www.escholarship.org/uc/item/9f65n5h1

► 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

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/10393/36533

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1773/40505

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1807/91855

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10161/8692

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholarcommons.sc.edu/etd/4356

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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