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You searched for subject:(Kernel Density Estimation). Showing records 1 – 30 of 114 total matches.

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Texas Tech University

1. 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 September 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 Sep 2020.

Vancouver:

Dassanayake PA. Local orthogonal polynomial expansions for density estimation. [Internet] [Masters thesis]. Texas Tech University; 2012. [cited 2020 Sep 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


Rice University

2. 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 September 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 Sep 2020.

Vancouver:

Taylor J. Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. [Internet] [Doctoral dissertation]. Rice University; 2020. [cited 2020 Sep 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


Texas A&M University

3. 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 September 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 Sep 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 Sep 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


North-West University

4. 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 September 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 Sep 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 Sep 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


Texas A&M University

5. 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 September 28, 2020. http://hdl.handle.net/1969.1/161403.

MLA Handbook (7th Edition):

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

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Sep 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

6. 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 September 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 Sep 2020.

Vancouver:

Park SN. Classification of Transients by Distance Measures. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 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

7. 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 September 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 Sep 2020.

Vancouver:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Sep 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


University of Guelph

8. 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 September 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 Sep 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 Sep 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


Universiteit Utrecht

9. 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 (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 September 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 Sep 2020.

Vancouver:

Li L. Leisure and Weather at Rotterdam. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Sep 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


Virginia Tech

10. Boedihardjo, Arnold Priguna. Efficient Algorithms for Mining Data Streams.

Degree: PhD, Computer Science, 2010, Virginia Tech

 Data streams are ordered sets of values that are fast, continuous, mutable, and potentially unbounded. Examples of data streams include the pervasive time series which… (more)

Subjects/Keywords: Data Mining; Machine Learning; Kernel Density Estimation; Outlier Detection; Data Stream

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APA (6th Edition):

Boedihardjo, A. P. (2010). Efficient Algorithms for Mining Data Streams. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28686

Chicago Manual of Style (16th Edition):

Boedihardjo, Arnold Priguna. “Efficient Algorithms for Mining Data Streams.” 2010. Doctoral Dissertation, Virginia Tech. Accessed September 28, 2020. http://hdl.handle.net/10919/28686.

MLA Handbook (7th Edition):

Boedihardjo, Arnold Priguna. “Efficient Algorithms for Mining Data Streams.” 2010. Web. 28 Sep 2020.

Vancouver:

Boedihardjo AP. Efficient Algorithms for Mining Data Streams. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/10919/28686.

Council of Science Editors:

Boedihardjo AP. Efficient Algorithms for Mining Data Streams. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/28686


University of Alberta

11. 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 September 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 Sep 2020.

Vancouver:

Liu Y. Reliability Estimation Based on Condition Monitoring Data. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Sep 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


University of Illinois – Chicago

12. 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 September 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 Sep 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 Sep 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


Stellenbosch University

13. Melonas, Michail C. Projected naive bayes.

Degree: MCom, Statistics and Actuarial Science, 2020, Stellenbosch University

ENGLISH SUMMARY : Naïve Bayes is a well-known statistical model that is recognised by the Institute of Electrical and Electronics Engineers (IEEE) as being among… (more)

Subjects/Keywords: Bayesian statistical decision theory; Correspondence analysis (Statistics); Gaussian distribution; Kernel functions; Kernel density estimation; Data mining; Computer algorithms; UCTD

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APA (6th Edition):

Melonas, M. C. (2020). Projected naive bayes. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/107862

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):

Melonas, Michail C. “Projected naive bayes.” 2020. Thesis, Stellenbosch University. Accessed September 28, 2020. http://hdl.handle.net/10019.1/107862.

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

MLA Handbook (7th Edition):

Melonas, Michail C. “Projected naive bayes.” 2020. Web. 28 Sep 2020.

Vancouver:

Melonas MC. Projected naive bayes. [Internet] [Thesis]. Stellenbosch University; 2020. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/10019.1/107862.

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

Council of Science Editors:

Melonas MC. Projected naive bayes. [Thesis]. Stellenbosch University; 2020. Available from: http://hdl.handle.net/10019.1/107862

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


University of Cincinnati

14. Wang, Tianyi. Trajectory Similarity Based Prediction for Remaining Useful Life Estimation.

Degree: PhD, Engineering and Applied Science: Industrial Engineering, 2010, University of Cincinnati

  The degradation process of a complex system may be affected by many unknown factors, such as unidentified fault modes, unmeasured operational conditions, engineering variance,… (more)

Subjects/Keywords: Mechanical Engineering; Prognostics and Health Management; Remaining Useful Life; Instance Based Learning; Kernel Regression; Kernel Density Estimation; Radial Basis Function

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APA (6th Edition):

Wang, T. (2010). Trajectory Similarity Based Prediction for Remaining Useful Life Estimation. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282574910

Chicago Manual of Style (16th Edition):

Wang, Tianyi. “Trajectory Similarity Based Prediction for Remaining Useful Life Estimation.” 2010. Doctoral Dissertation, University of Cincinnati. Accessed September 28, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282574910.

MLA Handbook (7th Edition):

Wang, Tianyi. “Trajectory Similarity Based Prediction for Remaining Useful Life Estimation.” 2010. Web. 28 Sep 2020.

Vancouver:

Wang T. Trajectory Similarity Based Prediction for Remaining Useful Life Estimation. [Internet] [Doctoral dissertation]. University of Cincinnati; 2010. [cited 2020 Sep 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282574910.

Council of Science Editors:

Wang T. Trajectory Similarity Based Prediction for Remaining Useful Life Estimation. [Doctoral Dissertation]. University of Cincinnati; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282574910


University of Edinburgh

15. Muir, Christopher Iain. Redefining Housing Market Areas in Scotland.

Degree: 2009, University of Edinburgh

 This research aims to address some of the limitations inherent in the methods currently used for identification of Housing Market Areas (HMAs) in Scotland. Firstly… (more)

Subjects/Keywords: Housing Market Areas; property market; Registers of Scotland; Kernel Density Estimation; household migration; GIS

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APA (6th Edition):

Muir, C. I. (2009). Redefining Housing Market Areas in Scotland. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3082

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):

Muir, Christopher Iain. “Redefining Housing Market Areas in Scotland.” 2009. Thesis, University of Edinburgh. Accessed September 28, 2020. http://hdl.handle.net/1842/3082.

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

MLA Handbook (7th Edition):

Muir, Christopher Iain. “Redefining Housing Market Areas in Scotland.” 2009. Web. 28 Sep 2020.

Vancouver:

Muir CI. Redefining Housing Market Areas in Scotland. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1842/3082.

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

Council of Science Editors:

Muir CI. Redefining Housing Market Areas in Scotland. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3082

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


Texas A&M University

16. Zhan, Dongling. The k-Sample Problem When k is Large and n Small.

Degree: PhD, Statistics, 2012, Texas A&M University

 The k-sample problem, i.e., testing whether two or more data sets come from the same population, is a classic one in statistics. Instead of having… (more)

Subjects/Keywords: K-Sample Problem; Kernel Density Estimation; Asymptotic Normal Distribution; Hypothesis Test; Random Effects

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

APA (6th Edition):

Zhan, D. (2012). The k-Sample Problem When k is Large and n Small. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10860

Chicago Manual of Style (16th Edition):

Zhan, Dongling. “The k-Sample Problem When k is Large and n Small.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10860.

MLA Handbook (7th Edition):

Zhan, Dongling. “The k-Sample Problem When k is Large and n Small.” 2012. Web. 28 Sep 2020.

Vancouver:

Zhan D. The k-Sample Problem When k is Large and n Small. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10860.

Council of Science Editors:

Zhan D. The k-Sample Problem When k is Large and n Small. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10860


NSYSU

17. Lin, Ching-yi. Importance sampling estimation of portfolio expected shortfall via copula approach.

Degree: Master, Applied Mathematics, 2014, NSYSU

 Expected shortfall is a measure of financial portfolio risk. In this study, we consider the problem of estimating expected shortfall of a portfolio. We use… (more)

Subjects/Keywords: D-vine; copula; kernel density estimation; expected shortfall; importance sampling; C-vine

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APA (6th Edition):

Lin, C. (2014). Importance sampling estimation of portfolio expected shortfall via copula approach. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-212246

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):

Lin, Ching-yi. “Importance sampling estimation of portfolio expected shortfall via copula approach.” 2014. Thesis, NSYSU. Accessed September 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-212246.

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

MLA Handbook (7th Edition):

Lin, Ching-yi. “Importance sampling estimation of portfolio expected shortfall via copula approach.” 2014. Web. 28 Sep 2020.

Vancouver:

Lin C. Importance sampling estimation of portfolio expected shortfall via copula approach. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Sep 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-212246.

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

Council of Science Editors:

Lin C. Importance sampling estimation of portfolio expected shortfall via copula approach. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-212246

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


Western Kentucky University

18. London, Jeremy Taylor. Geologic Factors Affecting Hydrocarbon Occurrence in Paleovalleys of the Mississippian-Pennsylvanian Unconformity in the Illinois Basin.

Degree: MS, Department of Geography and Geology, 2014, Western Kentucky University

  Paleovalleys associated with the Mississippian-Pennsylvanian unconformity have been identified as potential targets for hydrocarbon exploration in the Illinois Basin. Though there is little literature… (more)

Subjects/Keywords: GIS; Paleogeology; Kernel Density Estimation; Geology-Stratigraphic; Petroleum; Geochemistry; Geographic Information Sciences; Geology

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APA (6th Edition):

London, J. T. (2014). Geologic Factors Affecting Hydrocarbon Occurrence in Paleovalleys of the Mississippian-Pennsylvanian Unconformity in the Illinois Basin. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/1355

Chicago Manual of Style (16th Edition):

London, Jeremy Taylor. “Geologic Factors Affecting Hydrocarbon Occurrence in Paleovalleys of the Mississippian-Pennsylvanian Unconformity in the Illinois Basin.” 2014. Masters Thesis, Western Kentucky University. Accessed September 28, 2020. https://digitalcommons.wku.edu/theses/1355.

MLA Handbook (7th Edition):

London, Jeremy Taylor. “Geologic Factors Affecting Hydrocarbon Occurrence in Paleovalleys of the Mississippian-Pennsylvanian Unconformity in the Illinois Basin.” 2014. Web. 28 Sep 2020.

Vancouver:

London JT. Geologic Factors Affecting Hydrocarbon Occurrence in Paleovalleys of the Mississippian-Pennsylvanian Unconformity in the Illinois Basin. [Internet] [Masters thesis]. Western Kentucky University; 2014. [cited 2020 Sep 28]. Available from: https://digitalcommons.wku.edu/theses/1355.

Council of Science Editors:

London JT. Geologic Factors Affecting Hydrocarbon Occurrence in Paleovalleys of the Mississippian-Pennsylvanian Unconformity in the Illinois Basin. [Masters Thesis]. Western Kentucky University; 2014. Available from: https://digitalcommons.wku.edu/theses/1355


Texas State University – San Marcos

19. Schmidt, Martin. Kernel Estimation of Probability Density Functions for Interval-censored Sexually Transmitted Disease Data with Diary Information.

Degree: MS, Applied Mathematics, 2018, Texas State University – San Marcos

 The purpose of this study is to propose a method to reliably estimate the survival function of the true infection time of a sexually transmitted… (more)

Subjects/Keywords: Kernel; Estimation; Probability; Density; Function; STD; Clinical trials – Statistical methods; Sexually transmitted diseases

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

APA (6th Edition):

Schmidt, M. (2018). Kernel Estimation of Probability Density Functions for Interval-censored Sexually Transmitted Disease Data with Diary Information. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7419

Chicago Manual of Style (16th Edition):

Schmidt, Martin. “Kernel Estimation of Probability Density Functions for Interval-censored Sexually Transmitted Disease Data with Diary Information.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed September 28, 2020. https://digital.library.txstate.edu/handle/10877/7419.

MLA Handbook (7th Edition):

Schmidt, Martin. “Kernel Estimation of Probability Density Functions for Interval-censored Sexually Transmitted Disease Data with Diary Information.” 2018. Web. 28 Sep 2020.

Vancouver:

Schmidt M. Kernel Estimation of Probability Density Functions for Interval-censored Sexually Transmitted Disease Data with Diary Information. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2020 Sep 28]. Available from: https://digital.library.txstate.edu/handle/10877/7419.

Council of Science Editors:

Schmidt M. Kernel Estimation of Probability Density Functions for Interval-censored Sexually Transmitted Disease Data with Diary Information. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7419


University of Houston

20. Sghir, Ilyes 1990-. Modeling Human Motion for Predicting Usage of Hospital Operating Room.

Degree: MS, Computer Science, 2014, University of Houston

 We present a system that exploits existing video streams from an hospital operating room (OR) to infer the OR usage state through Bayesian modeling. We… (more)

Subjects/Keywords: Hospital Operating Room; Workflow Monitoring; Pattern recognition; Human motion; Gaussian Kernel Density Estimation; Bayesian inference

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

APA (6th Edition):

Sghir, I. 1. (2014). Modeling Human Motion for Predicting Usage of Hospital Operating Room. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1458

Chicago Manual of Style (16th Edition):

Sghir, Ilyes 1990-. “Modeling Human Motion for Predicting Usage of Hospital Operating Room.” 2014. Masters Thesis, University of Houston. Accessed September 28, 2020. http://hdl.handle.net/10657/1458.

MLA Handbook (7th Edition):

Sghir, Ilyes 1990-. “Modeling Human Motion for Predicting Usage of Hospital Operating Room.” 2014. Web. 28 Sep 2020.

Vancouver:

Sghir I1. Modeling Human Motion for Predicting Usage of Hospital Operating Room. [Internet] [Masters thesis]. University of Houston; 2014. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/10657/1458.

Council of Science Editors:

Sghir I1. Modeling Human Motion for Predicting Usage of Hospital Operating Room. [Masters Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1458


University of Toronto

21. Demirtas, Derya. Facility Location under Uncertainty and Spatial Data Analytics in Healthcare.

Degree: PhD, 2016, University of Toronto

 Out-of-hospital cardiac arrest (OHCA) is a significant public health issue and treatment, namely, cardiopulmonary resuscitation and defibrillation, is very time-sensitive. Public access defibrillation programs, which… (more)

Subjects/Keywords: automated external defibrillator; cardiac arrest; coverage models; facility location; intraclass correlation; kernel density estimation; 0546

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

APA (6th Edition):

Demirtas, D. (2016). Facility Location under Uncertainty and Spatial Data Analytics in Healthcare. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/72976

Chicago Manual of Style (16th Edition):

Demirtas, Derya. “Facility Location under Uncertainty and Spatial Data Analytics in Healthcare.” 2016. Doctoral Dissertation, University of Toronto. Accessed September 28, 2020. http://hdl.handle.net/1807/72976.

MLA Handbook (7th Edition):

Demirtas, Derya. “Facility Location under Uncertainty and Spatial Data Analytics in Healthcare.” 2016. Web. 28 Sep 2020.

Vancouver:

Demirtas D. Facility Location under Uncertainty and Spatial Data Analytics in Healthcare. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1807/72976.

Council of Science Editors:

Demirtas D. Facility Location under Uncertainty and Spatial Data Analytics in Healthcare. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/72976


University of Minnesota

22. Hamre, Karen. A comprehensive look at malaria in an epidemic prone area of highland Kenya using a traditional, spatial, and immuno-epidemiologic approach.

Degree: PhD, Epidemiology, 2015, University of Minnesota

 Malaria is the leading cause of morbidity and mortality in Kenya. In highland areas with unstable transmission, malaria occurs among individuals of all ages as… (more)

Subjects/Keywords: antibody responses; bed net campaign; falciparum malaria; kernel density estimation; low transmission; protection

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

APA (6th Edition):

Hamre, K. (2015). A comprehensive look at malaria in an epidemic prone area of highland Kenya using a traditional, spatial, and immuno-epidemiologic approach. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175695

Chicago Manual of Style (16th Edition):

Hamre, Karen. “A comprehensive look at malaria in an epidemic prone area of highland Kenya using a traditional, spatial, and immuno-epidemiologic approach.” 2015. Doctoral Dissertation, University of Minnesota. Accessed September 28, 2020. http://hdl.handle.net/11299/175695.

MLA Handbook (7th Edition):

Hamre, Karen. “A comprehensive look at malaria in an epidemic prone area of highland Kenya using a traditional, spatial, and immuno-epidemiologic approach.” 2015. Web. 28 Sep 2020.

Vancouver:

Hamre K. A comprehensive look at malaria in an epidemic prone area of highland Kenya using a traditional, spatial, and immuno-epidemiologic approach. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/11299/175695.

Council of Science Editors:

Hamre K. A comprehensive look at malaria in an epidemic prone area of highland Kenya using a traditional, spatial, and immuno-epidemiologic approach. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175695


University of Arizona

23. Ortiz, Joseph Christian. Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach .

Degree: 2016, University of Arizona

 This dissertation explores the possibility of using an imaging approach to model classical pharmacokinetic (PK) problems. The kinetic parameters which describe the uptake rates of… (more)

Subjects/Keywords: Kernel Density Estimation; Least Squares; List-Mode; Optimization; Pharmacokinetics; Optical Sciences; Imaging

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APA (6th Edition):

Ortiz, J. C. (2016). Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/621785

Chicago Manual of Style (16th Edition):

Ortiz, Joseph Christian. “Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach .” 2016. Doctoral Dissertation, University of Arizona. Accessed September 28, 2020. http://hdl.handle.net/10150/621785.

MLA Handbook (7th Edition):

Ortiz, Joseph Christian. “Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach .” 2016. Web. 28 Sep 2020.

Vancouver:

Ortiz JC. Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/10150/621785.

Council of Science Editors:

Ortiz JC. Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/621785


University of Tennessee – Knoxville

24. Liu, Yuan. A Study of Colloquial Place Names through Geotagged Social Media Data.

Degree: MS, Geography, 2015, University of Tennessee – Knoxville

  Place is a rich but vague geographic concept. Much work has been done to explore the collective understanding and perceived location of place. The… (more)

Subjects/Keywords: GIS; colloquial place names; Flickr; kernel density estimation; spatio-temporal analysis; Geographic Information Sciences

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APA (6th Edition):

Liu, Y. (2015). A Study of Colloquial Place Names through Geotagged Social Media Data. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/3336

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, Yuan. “A Study of Colloquial Place Names through Geotagged Social Media Data.” 2015. Thesis, University of Tennessee – Knoxville. Accessed September 28, 2020. https://trace.tennessee.edu/utk_gradthes/3336.

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

MLA Handbook (7th Edition):

Liu, Yuan. “A Study of Colloquial Place Names through Geotagged Social Media Data.” 2015. Web. 28 Sep 2020.

Vancouver:

Liu Y. A Study of Colloquial Place Names through Geotagged Social Media Data. [Internet] [Thesis]. University of Tennessee – Knoxville; 2015. [cited 2020 Sep 28]. Available from: https://trace.tennessee.edu/utk_gradthes/3336.

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

Council of Science Editors:

Liu Y. A Study of Colloquial Place Names through Geotagged Social Media Data. [Thesis]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_gradthes/3336

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


University of North Texas

25. Jones, Jesse Jack. Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods.

Degree: 2014, University of North Texas

 Understanding spatial perspectives on the spread and incidence of a disease is invaluable for public health planning and intervention. Choropleth maps are commonly used to… (more)

Subjects/Keywords: Kernel density estimation; spatial clustering; mapping; Medical mapping.; Medical geography.; Public health surveillance.; Epidemiology.

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APA (6th Edition):

Jones, J. J. (2014). Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc699888/

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):

Jones, Jesse Jack. “Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods.” 2014. Thesis, University of North Texas. Accessed September 28, 2020. https://digital.library.unt.edu/ark:/67531/metadc699888/.

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

MLA Handbook (7th Edition):

Jones, Jesse Jack. “Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods.” 2014. Web. 28 Sep 2020.

Vancouver:

Jones JJ. Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods. [Internet] [Thesis]. University of North Texas; 2014. [cited 2020 Sep 28]. Available from: https://digital.library.unt.edu/ark:/67531/metadc699888/.

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

Council of Science Editors:

Jones JJ. Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc699888/

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


Texas State University – San Marcos

26. Fenimore, Danielle M. Investigating the Spatiotemporal Distribution and Environmental Risk Factors of Harm-weighted Crime.

Degree: PhD, Criminal Justice, 2020, Texas State University – San Marcos

 Background: Due to the recent, extensive use of geospatial information systems (GIS), questions about spatial criminology can be answered in greater detail than they have… (more)

Subjects/Keywords: Kernel density estimation; Harm-weighted crime; Crime mapping; Conjunctive analysis; CACC; Harm spots

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APA (6th Edition):

Fenimore, D. M. (2020). Investigating the Spatiotemporal Distribution and Environmental Risk Factors of Harm-weighted Crime. (Doctoral Dissertation). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/9879

Chicago Manual of Style (16th Edition):

Fenimore, Danielle M. “Investigating the Spatiotemporal Distribution and Environmental Risk Factors of Harm-weighted Crime.” 2020. Doctoral Dissertation, Texas State University – San Marcos. Accessed September 28, 2020. https://digital.library.txstate.edu/handle/10877/9879.

MLA Handbook (7th Edition):

Fenimore, Danielle M. “Investigating the Spatiotemporal Distribution and Environmental Risk Factors of Harm-weighted Crime.” 2020. Web. 28 Sep 2020.

Vancouver:

Fenimore DM. Investigating the Spatiotemporal Distribution and Environmental Risk Factors of Harm-weighted Crime. [Internet] [Doctoral dissertation]. Texas State University – San Marcos; 2020. [cited 2020 Sep 28]. Available from: https://digital.library.txstate.edu/handle/10877/9879.

Council of Science Editors:

Fenimore DM. Investigating the Spatiotemporal Distribution and Environmental Risk Factors of Harm-weighted Crime. [Doctoral Dissertation]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/9879


University of Maryland

27. Miller, Christopher William. FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS.

Degree: Applied Mathematics and Scientific Computation, 2011, University of Maryland

 We explore the performance of several algorithms for the solution of stochastic partial differential equations including the stochastic Galerkin method and the stochastic sparse grid… (more)

Subjects/Keywords: Applied mathematics; Computer science; kernel density estimation; numerical analysis; stochastic collocation; Uncertainty quantification

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APA (6th Edition):

Miller, C. W. (2011). FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12532

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):

Miller, Christopher William. “FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS.” 2011. Thesis, University of Maryland. Accessed September 28, 2020. http://hdl.handle.net/1903/12532.

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

MLA Handbook (7th Edition):

Miller, Christopher William. “FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS.” 2011. Web. 28 Sep 2020.

Vancouver:

Miller CW. FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS. [Internet] [Thesis]. University of Maryland; 2011. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1903/12532.

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

Council of Science Editors:

Miller CW. FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/12532

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


University of Alberta

28. Khare, Kriti. Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering.

Degree: MS, Department of Computing Science, 2016, University of Alberta

 Most machine learning methods make assumptions about data. Parametric statistics assume that the data is sampled from a distribution with fixed properties set by the… (more)

Subjects/Keywords: kernel density estimation; density-based clustering; data generator with hierarchical ground truth; HDBSCAN*; hierarchical cluster analysis

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APA (6th Edition):

Khare, K. (2016). Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/crn301152q

Chicago Manual of Style (16th Edition):

Khare, Kriti. “Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering.” 2016. Masters Thesis, University of Alberta. Accessed September 28, 2020. https://era.library.ualberta.ca/files/crn301152q.

MLA Handbook (7th Edition):

Khare, Kriti. “Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering.” 2016. Web. 28 Sep 2020.

Vancouver:

Khare K. Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Sep 28]. Available from: https://era.library.ualberta.ca/files/crn301152q.

Council of Science Editors:

Khare K. Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/crn301152q


Penn State University

29. Wang, Qing. Topics in U-statistics and Risk Estimation .

Degree: 2010, Penn State University

 We consider estimating the variance of a general U-statistic when it is used as an unbiased estimator of the parameter of interest theta=E(K) where K… (more)

Subjects/Keywords: U-statistics; resampling; nonparametric kernel density estimation; risk estimation

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APA (6th Edition):

Wang, Q. (2010). Topics in U-statistics and Risk Estimation . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11410

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

Chicago Manual of Style (16th Edition):

Wang, Qing. “Topics in U-statistics and Risk Estimation .” 2010. Thesis, Penn State University. Accessed September 28, 2020. https://submit-etda.libraries.psu.edu/catalog/11410.

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

MLA Handbook (7th Edition):

Wang, Qing. “Topics in U-statistics and Risk Estimation .” 2010. Web. 28 Sep 2020.

Vancouver:

Wang Q. Topics in U-statistics and Risk Estimation . [Internet] [Thesis]. Penn State University; 2010. [cited 2020 Sep 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/11410.

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

Council of Science Editors:

Wang Q. Topics in U-statistics and Risk Estimation . [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/11410

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

30. Carbone, Mathieu. Efficacité, généricité et praticabilité de l'attaque par information mutuelle utilisant la méthode d'estimation de densité par noyau : Efficiency, genericity and practicability of Kerned-based mutual information analysis.

Degree: Docteur es, Systèmes automatiques et microélectroniques, 2015, Montpellier

De nos jours, les attaques par canaux auxiliaires sont facilement réalisables et très puissantes face aux implémentations cryptographiques. Cela pose une sérieuse menace en ce… (more)

Subjects/Keywords: Attaques par canaux cachés; Information mutuelle; Estimation de densité par noyaux; Side Channel Attacks; Mutual Information; Kernel Density Estimation

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APA (6th Edition):

Carbone, M. (2015). Efficacité, généricité et praticabilité de l'attaque par information mutuelle utilisant la méthode d'estimation de densité par noyau : Efficiency, genericity and practicability of Kerned-based mutual information analysis. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2015MONTS087

Chicago Manual of Style (16th Edition):

Carbone, Mathieu. “Efficacité, généricité et praticabilité de l'attaque par information mutuelle utilisant la méthode d'estimation de densité par noyau : Efficiency, genericity and practicability of Kerned-based mutual information analysis.” 2015. Doctoral Dissertation, Montpellier. Accessed September 28, 2020. http://www.theses.fr/2015MONTS087.

MLA Handbook (7th Edition):

Carbone, Mathieu. “Efficacité, généricité et praticabilité de l'attaque par information mutuelle utilisant la méthode d'estimation de densité par noyau : Efficiency, genericity and practicability of Kerned-based mutual information analysis.” 2015. Web. 28 Sep 2020.

Vancouver:

Carbone M. Efficacité, généricité et praticabilité de l'attaque par information mutuelle utilisant la méthode d'estimation de densité par noyau : Efficiency, genericity and practicability of Kerned-based mutual information analysis. [Internet] [Doctoral dissertation]. Montpellier; 2015. [cited 2020 Sep 28]. Available from: http://www.theses.fr/2015MONTS087.

Council of Science Editors:

Carbone M. Efficacité, généricité et praticabilité de l'attaque par information mutuelle utilisant la méthode d'estimation de densité par noyau : Efficiency, genericity and practicability of Kerned-based mutual information analysis. [Doctoral Dissertation]. Montpellier; 2015. Available from: http://www.theses.fr/2015MONTS087

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