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You searched for subject:(Density Estimation). Showing records 1 – 30 of 333 total matches.

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Penn State University

1. Vernon, Julia Anne. FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION.

Degree: 2017, Penn State University

 The use of passive acoustic monitoring in population density estimation of marine mammals is a developing capability, providing an efficient and cost-effective alternative to visual… (more)

Subjects/Keywords: density estimation; fin whales

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APA (6th Edition):

Vernon, J. A. (2017). FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13748jav232

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):

Vernon, Julia Anne. “FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION.” 2017. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/13748jav232.

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

MLA Handbook (7th Edition):

Vernon, Julia Anne. “FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION.” 2017. Web. 28 Oct 2020.

Vancouver:

Vernon JA. FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/13748jav232.

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

Council of Science Editors:

Vernon JA. FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13748jav232

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


Tokyo Institute of Technology / 東京工業大学

2. LIU, SONG. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.

Degree: 博士(工学), 2015, Tokyo Institute of Technology / 東京工業大学

 In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a… (more)

Subjects/Keywords: Change Detection; Machine Learning; Density Ratio Estimation

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APA (6th Edition):

LIU, S. (2015). Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

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, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2015. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed October 28, 2020. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167.

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

MLA Handbook (7th Edition):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2015. Web. 28 Oct 2020.

Vancouver:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. [cited 2020 Oct 28]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167.

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

Council of Science Editors:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

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


Tokyo Institute of Technology / 東京工業大学

3. LIU, SONG. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.

Degree: 博士(工学), 2014, Tokyo Institute of Technology / 東京工業大学

 In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a… (more)

Subjects/Keywords: Change Detection; Machine Learning; Density Ratio Estimation

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APA (6th Edition):

LIU, S. (2014). Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

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, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2014. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed October 28, 2020. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815.

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

MLA Handbook (7th Edition):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2014. Web. 28 Oct 2020.

Vancouver:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. [cited 2020 Oct 28]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815.

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

Council of Science Editors:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

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


Texas A&M University

4. Dorn, Mary Frances. Semiparametric Classification under a Forest Density Assumption.

Degree: PhD, Statistics, 2017, Texas A&M University

 This dissertation proposes a new semiparametric approach for binary classification that exploits the modeling flexibility of sparse graphical models. This approach is based on non-parametrically… (more)

Subjects/Keywords: classification; nonparametric density estimation; forests; machine learning

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APA (6th Edition):

Dorn, M. F. (2017). Semiparametric Classification under a Forest Density Assumption. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161361

Chicago Manual of Style (16th Edition):

Dorn, Mary Frances. “Semiparametric Classification under a Forest Density Assumption.” 2017. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/161361.

MLA Handbook (7th Edition):

Dorn, Mary Frances. “Semiparametric Classification under a Forest Density Assumption.” 2017. Web. 28 Oct 2020.

Vancouver:

Dorn MF. Semiparametric Classification under a Forest Density Assumption. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/161361.

Council of Science Editors:

Dorn MF. Semiparametric Classification under a Forest Density Assumption. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161361


Texas Tech University

5. Dassanayake, Placida Amali. Local orthogonal polynomial expansions for density estimation.

Degree: MS, Statistics, 2012, Texas Tech University

 We propose a new method to estimate the density function of a univariate continuous random variable. local orthogonal polynomial expansions (LOrPE) the new method draws… (more)

Subjects/Keywords: Local Orthogonal Polynomial Expansion; Kernel Density Estimation

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APA (6th Edition):

Dassanayake, P. A. (2012). Local orthogonal polynomial expansions for density estimation. (Masters Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/73887

Chicago Manual of Style (16th Edition):

Dassanayake, Placida Amali. “Local orthogonal polynomial expansions for density estimation.” 2012. Masters Thesis, Texas Tech University. Accessed October 28, 2020. http://hdl.handle.net/2346/73887.

MLA Handbook (7th Edition):

Dassanayake, Placida Amali. “Local orthogonal polynomial expansions for density estimation.” 2012. Web. 28 Oct 2020.

Vancouver:

Dassanayake PA. Local orthogonal polynomial expansions for density estimation. [Internet] [Masters thesis]. Texas Tech University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/2346/73887.

Council of Science Editors:

Dassanayake PA. Local orthogonal polynomial expansions for density estimation. [Masters Thesis]. Texas Tech University; 2012. Available from: http://hdl.handle.net/2346/73887

6. Chiu, Chi-Yang. Nonparametric Mixed-Effects Density Regression.

Degree: 2015, University of California – eScholarship, University of California

 Conditional density provides the most informative summary of the relationship between independent and dependent variables. It enables us to examine the overall shapes of densities… (more)

Subjects/Keywords: Statistics; Density Estimation; Mixed-Effects Model

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APA (6th Edition):

Chiu, C. (2015). Nonparametric Mixed-Effects Density Regression. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/74m251sw

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):

Chiu, Chi-Yang. “Nonparametric Mixed-Effects Density Regression.” 2015. Thesis, University of California – eScholarship, University of California. Accessed October 28, 2020. http://www.escholarship.org/uc/item/74m251sw.

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

MLA Handbook (7th Edition):

Chiu, Chi-Yang. “Nonparametric Mixed-Effects Density Regression.” 2015. Web. 28 Oct 2020.

Vancouver:

Chiu C. Nonparametric Mixed-Effects Density Regression. [Internet] [Thesis]. University of California – eScholarship, University of California; 2015. [cited 2020 Oct 28]. Available from: http://www.escholarship.org/uc/item/74m251sw.

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

Council of Science Editors:

Chiu C. Nonparametric Mixed-Effects Density Regression. [Thesis]. University of California – eScholarship, University of California; 2015. Available from: http://www.escholarship.org/uc/item/74m251sw

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

7. Macías Vera, Paula. Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk.

Degree: Máster europeo en Ingeniería de la Construcción, 2014, Universidad de Cantabria

 The kinematics of the flow of rock salt on a spreader disk is observed in full scale from movies recorded with a high speed camera… (more)

Subjects/Keywords: Density estimation

…large variation. The density of salt considered in this study is 2165 kg/m3 (Weast… …necessary are the area ‫ܣ‬π and the empiric density ߩπ of each sub-domain along the radial axis… …considered (Figure 20). Area along the blade Density distribution Figure 20… …Identification of area and density sections · First step: frame selection The spreader disk has been… …density of each sub-domain of the sub-cluster in the specific frame A coefficient of compaction… 

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APA (6th Edition):

Macías Vera, P. (2014). Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk. (Masters Thesis). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/5335

Chicago Manual of Style (16th Edition):

Macías Vera, Paula. “Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk.” 2014. Masters Thesis, Universidad de Cantabria. Accessed October 28, 2020. http://hdl.handle.net/10902/5335.

MLA Handbook (7th Edition):

Macías Vera, Paula. “Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk.” 2014. Web. 28 Oct 2020.

Vancouver:

Macías Vera P. Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk. [Internet] [Masters thesis]. Universidad de Cantabria; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10902/5335.

Council of Science Editors:

Macías Vera P. Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk. [Masters Thesis]. Universidad de Cantabria; 2014. Available from: http://hdl.handle.net/10902/5335


Rice University

8. Taylor, Josh. Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering.

Degree: PhD, Engineering, 2020, Rice University

 This work collectively demonstrates how a study of the geometry of the Voronoi tessellations induced by manifold learning via Self-Organizing Maps (SOMs) can inform the… (more)

Subjects/Keywords: Self-Organizing Maps; Kernel Density Estimation; Clustering

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APA (6th Edition):

Taylor, J. (2020). Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/108374

Chicago Manual of Style (16th Edition):

Taylor, Josh. “Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering.” 2020. Doctoral Dissertation, Rice University. Accessed October 28, 2020. http://hdl.handle.net/1911/108374.

MLA Handbook (7th Edition):

Taylor, Josh. “Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering.” 2020. Web. 28 Oct 2020.

Vancouver:

Taylor J. Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. [Internet] [Doctoral dissertation]. Rice University; 2020. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1911/108374.

Council of Science Editors:

Taylor J. Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. [Doctoral Dissertation]. Rice University; 2020. Available from: http://hdl.handle.net/1911/108374

9. Uria, Benigno. Connectionist multivariate density-estimation and its application to speech synthesis.

Degree: PhD, 2016, University of Edinburgh

 Autoregressive models factorize a multivariate joint probability distribution into a product of one-dimensional conditional distributions. The variables are assigned an ordering, and the conditional distribution… (more)

Subjects/Keywords: 006.5; deep learning; density estimation; speech synthesis

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APA (6th Edition):

Uria, B. (2016). Connectionist multivariate density-estimation and its application to speech synthesis. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15868

Chicago Manual of Style (16th Edition):

Uria, Benigno. “Connectionist multivariate density-estimation and its application to speech synthesis.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed October 28, 2020. http://hdl.handle.net/1842/15868.

MLA Handbook (7th Edition):

Uria, Benigno. “Connectionist multivariate density-estimation and its application to speech synthesis.” 2016. Web. 28 Oct 2020.

Vancouver:

Uria B. Connectionist multivariate density-estimation and its application to speech synthesis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1842/15868.

Council of Science Editors:

Uria B. Connectionist multivariate density-estimation and its application to speech synthesis. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/15868


Texas A&M University

10. Wen, Kuangyu. Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance.

Degree: PhD, Agricultural Economics, 2015, Texas A&M University

 This dissertation includes three essays. The first essay concerns nonparametric kernel density estimation on the unit interval. The Kernel Density Estimator (KDE) suffers boundary biases… (more)

Subjects/Keywords: Kernel density estimation; Bounded support; Copula density; Crop insurance; Spatial Smoothing

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APA (6th Edition):

Wen, K. (2015). Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155094

Chicago Manual of Style (16th Edition):

Wen, Kuangyu. “Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/155094.

MLA Handbook (7th Edition):

Wen, Kuangyu. “Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance.” 2015. Web. 28 Oct 2020.

Vancouver:

Wen K. Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/155094.

Council of Science Editors:

Wen K. Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155094

11. Shang, Zongyuan. Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program.

Degree: PhD, Department of Food, Agricultural and Resource Economics, 2015, University of Guelph

 Theoretically, the bias reduction and the variance reduction nonparametric density estimators could have but not yet been combined. Practically, accurate estimation of premiums is a… (more)

Subjects/Keywords: nonparametric; insurance; premium; density estimation; crop insurance; yield distribution; yield density

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APA (6th Edition):

Shang, Z. (2015). Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874

Chicago Manual of Style (16th Edition):

Shang, Zongyuan. “Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program.” 2015. Doctoral Dissertation, University of Guelph. Accessed October 28, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874.

MLA Handbook (7th Edition):

Shang, Zongyuan. “Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program.” 2015. Web. 28 Oct 2020.

Vancouver:

Shang Z. Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program. [Internet] [Doctoral dissertation]. University of Guelph; 2015. [cited 2020 Oct 28]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874.

Council of Science Editors:

Shang Z. Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program. [Doctoral Dissertation]. University of Guelph; 2015. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874


North-West University

12. Liebenberg, Shawn Carl. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .

Degree: 2014, North-West University

 Scientists often encounter unobserved or missing measurements that are typically reported as less than a fixed detection limit. This especially occurs in the environmental sciences… (more)

Subjects/Keywords: Multiple imputation; Detection limit; Maximum likelihood estimation; Kernel density estimation; Bootstrap

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APA (6th Edition):

Liebenberg, S. C. (2014). Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/15363

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):

Liebenberg, Shawn Carl. “Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .” 2014. Thesis, North-West University. Accessed October 28, 2020. http://hdl.handle.net/10394/15363.

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

MLA Handbook (7th Edition):

Liebenberg, Shawn Carl. “Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .” 2014. Web. 28 Oct 2020.

Vancouver:

Liebenberg SC. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . [Internet] [Thesis]. North-West University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10394/15363.

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

Council of Science Editors:

Liebenberg SC. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . [Thesis]. North-West University; 2014. Available from: http://hdl.handle.net/10394/15363

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


Université de Sherbrooke

13. Yadegari, Iraj. Prédiction, inférence sélective et quelques problèmes connexes.

Degree: 2017, Université de Sherbrooke

 Abstract : We study the problem of point estimation and predictive density estimation of the mean of a selected population, obtaining novel developments which include… (more)

Subjects/Keywords: Selective inference; Predictive density estimation; Estimation after selection

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APA (6th Edition):

Yadegari, I. (2017). Prédiction, inférence sélective et quelques problèmes connexes. (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/10167

Chicago Manual of Style (16th Edition):

Yadegari, Iraj. “Prédiction, inférence sélective et quelques problèmes connexes.” 2017. Doctoral Dissertation, Université de Sherbrooke. Accessed October 28, 2020. http://hdl.handle.net/11143/10167.

MLA Handbook (7th Edition):

Yadegari, Iraj. “Prédiction, inférence sélective et quelques problèmes connexes.” 2017. Web. 28 Oct 2020.

Vancouver:

Yadegari I. Prédiction, inférence sélective et quelques problèmes connexes. [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/11143/10167.

Council of Science Editors:

Yadegari I. Prédiction, inférence sélective et quelques problèmes connexes. [Doctoral Dissertation]. Université de Sherbrooke; 2017. Available from: http://hdl.handle.net/11143/10167


University of Illinois – Chicago

14. Haji Alizad, Sina. A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit.

Degree: 2017, University of Illinois – Chicago

 Statistical computing operations such as Bayesian inference, stochastic programming, image and signal processing and cryptography are based on estimating the density functions. The nonparametric density(more)

Subjects/Keywords: Low power computing; CDF Estimation; Nonparametric Density Functions; Statistical Computing; Kernel Density Estimation; Random Number Generator

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APA (6th Edition):

Haji Alizad, S. (2017). A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21929

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):

Haji Alizad, Sina. “A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit.” 2017. Thesis, University of Illinois – Chicago. Accessed October 28, 2020. http://hdl.handle.net/10027/21929.

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

MLA Handbook (7th Edition):

Haji Alizad, Sina. “A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit.” 2017. Web. 28 Oct 2020.

Vancouver:

Haji Alizad S. A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10027/21929.

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

Council of Science Editors:

Haji Alizad S. A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21929

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


University of Melbourne

15. McLean, Christopher Charles. Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.

Degree: 2019, University of Melbourne

 The phenomena of pulse pile-up presents a significant challenge to the upper limits of performance of X-ray and γ-ray spectroscopic systems. In spite of the… (more)

Subjects/Keywords: pile-up; decompounding; spectroscopy; density deconvolution; X-ray; non-parametric density estimation

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APA (6th Edition):

McLean, C. C. (2019). Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/233608

Chicago Manual of Style (16th Edition):

McLean, Christopher Charles. “Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.” 2019. Doctoral Dissertation, University of Melbourne. Accessed October 28, 2020. http://hdl.handle.net/11343/233608.

MLA Handbook (7th Edition):

McLean, Christopher Charles. “Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.” 2019. Web. 28 Oct 2020.

Vancouver:

McLean CC. Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/11343/233608.

Council of Science Editors:

McLean CC. Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/233608


University of Alberta

16. Liu, Yang. Reliability Estimation Based on Condition Monitoring Data.

Degree: MS, Department of Mechanical Engineering, 2016, University of Alberta

 Reliability estimation based on condition monitoring data contains two important parts: thresholding and probability density estimation. Thresholding is to determine a critical level of an… (more)

Subjects/Keywords: Reliability estimation; Condition monitoring; One-class support vector machine; Kernel density estimation

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

APA (6th Edition):

Liu, Y. (2016). Reliability Estimation Based on Condition Monitoring Data. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c5712m675k

Chicago Manual of Style (16th Edition):

Liu, Yang. “Reliability Estimation Based on Condition Monitoring Data.” 2016. Masters Thesis, University of Alberta. Accessed October 28, 2020. https://era.library.ualberta.ca/files/c5712m675k.

MLA Handbook (7th Edition):

Liu, Yang. “Reliability Estimation Based on Condition Monitoring Data.” 2016. Web. 28 Oct 2020.

Vancouver:

Liu Y. Reliability Estimation Based on Condition Monitoring Data. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Oct 28]. Available from: https://era.library.ualberta.ca/files/c5712m675k.

Council of Science Editors:

Liu Y. Reliability Estimation Based on Condition Monitoring Data. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c5712m675k

17. Bailly, Raphael. Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players.

Degree: Docteur es, Informatique, 2011, Aix-Marseille 1

Nous nous plaçons dans le cadre de l’inférence grammaticale probabiliste. Il s’agit, étant donnée une distribution p sur un ensemble de chaînes S∗ inconnue, d’inférer… (more)

Subjects/Keywords: Inférence grammaticale; Estimation de densité non-paramétrique; Grammatical inference; Non-parametric density estimation

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

APA (6th Edition):

Bailly, R. (2011). Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players. (Doctoral Dissertation). Aix-Marseille 1. Retrieved from http://www.theses.fr/2011AIX10125

Chicago Manual of Style (16th Edition):

Bailly, Raphael. “Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players.” 2011. Doctoral Dissertation, Aix-Marseille 1. Accessed October 28, 2020. http://www.theses.fr/2011AIX10125.

MLA Handbook (7th Edition):

Bailly, Raphael. “Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players.” 2011. Web. 28 Oct 2020.

Vancouver:

Bailly R. Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players. [Internet] [Doctoral dissertation]. Aix-Marseille 1; 2011. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2011AIX10125.

Council of Science Editors:

Bailly R. Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players. [Doctoral Dissertation]. Aix-Marseille 1; 2011. Available from: http://www.theses.fr/2011AIX10125


University of Canterbury

18. Teng, Gloria Ai Hui. Statistical Regular Pavings and their Applications.

Degree: PhD, Statistics, 2013, University of Canterbury

 We propose using statistical regular pavings (SRPs) as an efficient and adaptive statistical data structure for processing massive, multi-dimensional data. A regular paving (RP) is… (more)

Subjects/Keywords: histogram estimation; nonparametric density estimation; Markov Chain Monte Carlo; spatio-temporal data; statistical regular pavings

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APA (6th Edition):

Teng, G. A. H. (2013). Statistical Regular Pavings and their Applications. (Doctoral Dissertation). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/2552

Chicago Manual of Style (16th Edition):

Teng, Gloria Ai Hui. “Statistical Regular Pavings and their Applications.” 2013. Doctoral Dissertation, University of Canterbury. Accessed October 28, 2020. http://dx.doi.org/10.26021/2552.

MLA Handbook (7th Edition):

Teng, Gloria Ai Hui. “Statistical Regular Pavings and their Applications.” 2013. Web. 28 Oct 2020.

Vancouver:

Teng GAH. Statistical Regular Pavings and their Applications. [Internet] [Doctoral dissertation]. University of Canterbury; 2013. [cited 2020 Oct 28]. Available from: http://dx.doi.org/10.26021/2552.

Council of Science Editors:

Teng GAH. Statistical Regular Pavings and their Applications. [Doctoral Dissertation]. University of Canterbury; 2013. Available from: http://dx.doi.org/10.26021/2552


University of Missouri – Columbia

19. Ma, Zhenhua. Asymptotically efficient estimators for geometric shape fitting and source localization.

Degree: 2013, University of Missouri – Columbia

 Solving the nonlinear estimation problem is known to be a challenging task because of the implicit relationship between the measurement data and the unknown parameters… (more)

Subjects/Keywords: nonlinear estimation problem; sensor position; probability density function; Nonlinear theories; Estimation theory; Electrical engineering

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APA (6th Edition):

Ma, Z. (2013). Asymptotically efficient estimators for geometric shape fitting and source localization. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/46134

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):

Ma, Zhenhua. “Asymptotically efficient estimators for geometric shape fitting and source localization.” 2013. Thesis, University of Missouri – Columbia. Accessed October 28, 2020. http://hdl.handle.net/10355/46134.

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

MLA Handbook (7th Edition):

Ma, Zhenhua. “Asymptotically efficient estimators for geometric shape fitting and source localization.” 2013. Web. 28 Oct 2020.

Vancouver:

Ma Z. Asymptotically efficient estimators for geometric shape fitting and source localization. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10355/46134.

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

Council of Science Editors:

Ma Z. Asymptotically efficient estimators for geometric shape fitting and source localization. [Thesis]. University of Missouri – Columbia; 2013. Available from: http://hdl.handle.net/10355/46134

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


Universiteit Utrecht

20. Li, L. Leisure and Weather at Rotterdam.

Degree: 2014, Universiteit Utrecht

 This study was designed to discover people’s daily leisure behavior respond to different weather conditions, and also if the transportations and individual specific characteristics matters… (more)

Subjects/Keywords: Leisure; Weather; Transportation; Kernel Density Estimation; Rotterdam; Empirical Study

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

APA (6th Edition):

Li, L. (2014). Leisure and Weather at Rotterdam. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/301411

Chicago Manual of Style (16th Edition):

Li, L. “Leisure and Weather at Rotterdam.” 2014. Masters Thesis, Universiteit Utrecht. Accessed October 28, 2020. http://dspace.library.uu.nl:8080/handle/1874/301411.

MLA Handbook (7th Edition):

Li, L. “Leisure and Weather at Rotterdam.” 2014. Web. 28 Oct 2020.

Vancouver:

Li L. Leisure and Weather at Rotterdam. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Oct 28]. Available from: http://dspace.library.uu.nl:8080/handle/1874/301411.

Council of Science Editors:

Li L. Leisure and Weather at Rotterdam. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/301411


University of California – Berkeley

21. Long, James Patrick. Prediction Methods for Astronomical Data Observed with Measurement Error.

Degree: Statistics, 2013, University of California – Berkeley

 We study prediction when features are observed with measurement error. The research is motivated by classification challenges in astronomy.In Chapter 1 we introduce the periodic… (more)

Subjects/Keywords: Statistics; Astronomy; astrostatistics; classification; density estimation; measurement error; variable stars

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

APA (6th Edition):

Long, J. P. (2013). Prediction Methods for Astronomical Data Observed with Measurement Error. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0s79z3hk

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):

Long, James Patrick. “Prediction Methods for Astronomical Data Observed with Measurement Error.” 2013. Thesis, University of California – Berkeley. Accessed October 28, 2020. http://www.escholarship.org/uc/item/0s79z3hk.

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

MLA Handbook (7th Edition):

Long, James Patrick. “Prediction Methods for Astronomical Data Observed with Measurement Error.” 2013. Web. 28 Oct 2020.

Vancouver:

Long JP. Prediction Methods for Astronomical Data Observed with Measurement Error. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Oct 28]. Available from: http://www.escholarship.org/uc/item/0s79z3hk.

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

Council of Science Editors:

Long JP. Prediction Methods for Astronomical Data Observed with Measurement Error. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/0s79z3hk

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


Mississippi State University

22. Xu, Yang. On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada.

Degree: PhD, Mathematics and Statistics, 2016, Mississippi State University

  The nonparametric confidence interval for an unknown function is quite a useful tool in statistical inferential procedures; and thus, there exists a wide body… (more)

Subjects/Keywords: kernel density; climate change; nonparametric estimation; storage model

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APA (6th Edition):

Xu, Y. (2016). On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;

Chicago Manual of Style (16th Edition):

Xu, Yang. “On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada.” 2016. Doctoral Dissertation, Mississippi State University. Accessed October 28, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;.

MLA Handbook (7th Edition):

Xu, Yang. “On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada.” 2016. Web. 28 Oct 2020.

Vancouver:

Xu Y. On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada. [Internet] [Doctoral dissertation]. Mississippi State University; 2016. [cited 2020 Oct 28]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;.

Council of Science Editors:

Xu Y. On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada. [Doctoral Dissertation]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;

23. Hamsa, K K. Some contributions to renewal density estimation; -.

Degree: Statistics, 2014, University of Calicut

None

-

Advisors/Committee Members: Anilkumar, P.

Subjects/Keywords: Renewal density estimation; Statistics

Page 1

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APA (6th Edition):

Hamsa, K. K. (2014). Some contributions to renewal density estimation; -. (Thesis). University of Calicut. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/21714

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):

Hamsa, K K. “Some contributions to renewal density estimation; -.” 2014. Thesis, University of Calicut. Accessed October 28, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/21714.

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

MLA Handbook (7th Edition):

Hamsa, K K. “Some contributions to renewal density estimation; -.” 2014. Web. 28 Oct 2020.

Vancouver:

Hamsa KK. Some contributions to renewal density estimation; -. [Internet] [Thesis]. University of Calicut; 2014. [cited 2020 Oct 28]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/21714.

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

Council of Science Editors:

Hamsa KK. Some contributions to renewal density estimation; -. [Thesis]. University of Calicut; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/21714

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


Texas A&M University

24. Katiyar, Ashish. Determination of Cancer Tissue Heterogeneity.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its… (more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

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APA (6th Edition):

Katiyar, A. (2017). Determination of Cancer Tissue Heterogeneity. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161403

Chicago Manual of Style (16th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/161403.

MLA Handbook (7th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 28 Oct 2020.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/161403.

Council of Science Editors:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161403


Penn State University

25. Park, Sae Na. Classification of Transients by Distance Measures.

Degree: 2015, Penn State University

 Due to a rapidly increasing size of data in astronomical surveys, statistical methods which can automatically classify newly detected celestial objects in an accurate and… (more)

Subjects/Keywords: Classification; Kullback-Leibler divergence; Kernel density estimation; Transients; Variable stars

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APA (6th Edition):

Park, S. N. (2015). Classification of Transients by Distance Measures. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26313

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):

Park, Sae Na. “Classification of Transients by Distance Measures.” 2015. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/26313.

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

MLA Handbook (7th Edition):

Park, Sae Na. “Classification of Transients by Distance Measures.” 2015. Web. 28 Oct 2020.

Vancouver:

Park SN. Classification of Transients by Distance Measures. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/26313.

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

Council of Science Editors:

Park SN. Classification of Transients by Distance Measures. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26313

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


Penn State University

26. Rao, Aniruddha Rajendra. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.

Degree: 2019, Penn State University

 In this thesis, we consider the problem of estimating an unknown density, p_o belonging to an infinite dimensional exponential family P parametrized by functions in… (more)

Subjects/Keywords: Kernel Methods; Density Estimation; Exponential Family; Computation; Infinite Dimension

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APA (6th Edition):

Rao, A. R. (2019). COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16246arr30

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):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/16246arr30.

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

MLA Handbook (7th Edition):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Web. 28 Oct 2020.

Vancouver:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30.

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

Council of Science Editors:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30

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


Penn State University

27. Liu, Rui. Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics.

Degree: 2019, Penn State University

 A significant percentage of hydrocarbon reservoirs around the world is fractured[1]. Moreover, the major part of gas reservoirs are also fractured type, so production data… (more)

Subjects/Keywords: production data analysis; rate transient analysis; reserve estimation; density-based approach

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APA (6th Edition):

Liu, R. (2019). Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16734rxl356

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, Rui. “Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics.” 2019. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/16734rxl356.

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

MLA Handbook (7th Edition):

Liu, Rui. “Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics.” 2019. Web. 28 Oct 2020.

Vancouver:

Liu R. Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/16734rxl356.

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

Council of Science Editors:

Liu R. Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16734rxl356

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


University of Waterloo

28. Dockhorn, Tim. Generative Modeling with Neural Ordinary Differential Equations.

Degree: 2019, University of Waterloo

 Neural ordinary differential equations (NODEs) (Chen et al., 2018) are ordinary differential equations (ODEs) with their dynamics modeled by neural networks. Continuous normalizing flows (CNFs)… (more)

Subjects/Keywords: generative modeling; neural ordinary differential equations; density estimation; deep learning

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APA (6th Edition):

Dockhorn, T. (2019). Generative Modeling with Neural Ordinary Differential Equations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15354

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):

Dockhorn, Tim. “Generative Modeling with Neural Ordinary Differential Equations.” 2019. Thesis, University of Waterloo. Accessed October 28, 2020. http://hdl.handle.net/10012/15354.

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

MLA Handbook (7th Edition):

Dockhorn, Tim. “Generative Modeling with Neural Ordinary Differential Equations.” 2019. Web. 28 Oct 2020.

Vancouver:

Dockhorn T. Generative Modeling with Neural Ordinary Differential Equations. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10012/15354.

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

Council of Science Editors:

Dockhorn T. Generative Modeling with Neural Ordinary Differential Equations. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15354

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


North Carolina State University

29. McIntyre, Julie P. Density Deconvolution with Replicate Measurements and Auxiliary Data.

Degree: PhD, Statistics, 2003, North Carolina State University

 We present two deconvolution estimators for the density function of a random variable X that is measured with error. The first estimates the density of… (more)

Subjects/Keywords: deconvolution; measurement error; density estimation

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APA (6th Edition):

McIntyre, J. P. (2003). Density Deconvolution with Replicate Measurements and Auxiliary Data. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3460

Chicago Manual of Style (16th Edition):

McIntyre, Julie P. “Density Deconvolution with Replicate Measurements and Auxiliary Data.” 2003. Doctoral Dissertation, North Carolina State University. Accessed October 28, 2020. http://www.lib.ncsu.edu/resolver/1840.16/3460.

MLA Handbook (7th Edition):

McIntyre, Julie P. “Density Deconvolution with Replicate Measurements and Auxiliary Data.” 2003. Web. 28 Oct 2020.

Vancouver:

McIntyre JP. Density Deconvolution with Replicate Measurements and Auxiliary Data. [Internet] [Doctoral dissertation]. North Carolina State University; 2003. [cited 2020 Oct 28]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3460.

Council of Science Editors:

McIntyre JP. Density Deconvolution with Replicate Measurements and Auxiliary Data. [Doctoral Dissertation]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3460


University of Guelph

30. Ramadan, Anas. EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS.

Degree: MS, Department of Food, Agricultural and Resource Economics, 2011, University of Guelph

 This thesis examines a newly proposed density estimator in order to evaluate its usefulness for government crop insurance programs confronted by the problem of adverse… (more)

Subjects/Keywords: Empirical Bayes Nonparametric Kernel Density Estimation; crop yield; insurance

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

APA (6th Edition):

Ramadan, A. (2011). EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020

Chicago Manual of Style (16th Edition):

Ramadan, Anas. “EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS.” 2011. Masters Thesis, University of Guelph. Accessed October 28, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020.

MLA Handbook (7th Edition):

Ramadan, Anas. “EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS.” 2011. Web. 28 Oct 2020.

Vancouver:

Ramadan A. EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS. [Internet] [Masters thesis]. University of Guelph; 2011. [cited 2020 Oct 28]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020.

Council of Science Editors:

Ramadan A. EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS. [Masters Thesis]. University of Guelph; 2011. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020

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