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You searched for subject:(Bootstrap Statistics ). Showing records 1 – 30 of 110 total matches.

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University of Oklahoma

1. Beasley, William Howard. Univariate Bootstrap Sampling Procedures Using Prior Information.

Degree: PhD, 2010, University of Oklahoma

 Analyses that test nonzero correlations and incorporate prior information can help accumulate knowledge and advance research at a faster pace than typical analyses that disregard… (more)

Subjects/Keywords: Bootstrap (Statistics)

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

APA (6th Edition):

Beasley, W. H. (2010). Univariate Bootstrap Sampling Procedures Using Prior Information. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318563

Chicago Manual of Style (16th Edition):

Beasley, William Howard. “Univariate Bootstrap Sampling Procedures Using Prior Information.” 2010. Doctoral Dissertation, University of Oklahoma. Accessed February 21, 2020. http://hdl.handle.net/11244/318563.

MLA Handbook (7th Edition):

Beasley, William Howard. “Univariate Bootstrap Sampling Procedures Using Prior Information.” 2010. Web. 21 Feb 2020.

Vancouver:

Beasley WH. Univariate Bootstrap Sampling Procedures Using Prior Information. [Internet] [Doctoral dissertation]. University of Oklahoma; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/11244/318563.

Council of Science Editors:

Beasley WH. Univariate Bootstrap Sampling Procedures Using Prior Information. [Doctoral Dissertation]. University of Oklahoma; 2010. Available from: http://hdl.handle.net/11244/318563


University of Oklahoma

2. Beasley, William Howard. Univariate Bootstrap Sampling Procedures Using Prior Information.

Degree: PhD, 2010, University of Oklahoma

 Analyses that test nonzero correlations and incorporate prior information can help accumulate knowledge and advance research at a faster pace than typical analyses that disregard… (more)

Subjects/Keywords: Bootstrap (Statistics)

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

APA (6th Edition):

Beasley, W. H. (2010). Univariate Bootstrap Sampling Procedures Using Prior Information. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319514

Chicago Manual of Style (16th Edition):

Beasley, William Howard. “Univariate Bootstrap Sampling Procedures Using Prior Information.” 2010. Doctoral Dissertation, University of Oklahoma. Accessed February 21, 2020. http://hdl.handle.net/11244/319514.

MLA Handbook (7th Edition):

Beasley, William Howard. “Univariate Bootstrap Sampling Procedures Using Prior Information.” 2010. Web. 21 Feb 2020.

Vancouver:

Beasley WH. Univariate Bootstrap Sampling Procedures Using Prior Information. [Internet] [Doctoral dissertation]. University of Oklahoma; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/11244/319514.

Council of Science Editors:

Beasley WH. Univariate Bootstrap Sampling Procedures Using Prior Information. [Doctoral Dissertation]. University of Oklahoma; 2010. Available from: http://hdl.handle.net/11244/319514


University of Hong Kong

3. Yu, Zhuqing. Uniformly consistent bootstrap confidence intervals.

Degree: M. Phil., 2012, University of Hong Kong

The bootstrap methods are widely used for constructing confidence intervals. However, the conventional bootstrap fails to be consistent under some nonstandard circumstances. The m out… (more)

Subjects/Keywords: Confidence intervals.; Bootstrap (Statistics)

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APA (6th Edition):

Yu, Z. (2012). Uniformly consistent bootstrap confidence intervals. (Masters Thesis). University of Hong Kong. Retrieved from Yu, Z. [俞翥清]. (2012). Uniformly consistent bootstrap confidence intervals. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4775299 ; http://dx.doi.org/10.5353/th_b4775299 ; http://hdl.handle.net/10722/174479

Chicago Manual of Style (16th Edition):

Yu, Zhuqing. “Uniformly consistent bootstrap confidence intervals.” 2012. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Yu, Z. [俞翥清]. (2012). Uniformly consistent bootstrap confidence intervals. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4775299 ; http://dx.doi.org/10.5353/th_b4775299 ; http://hdl.handle.net/10722/174479.

MLA Handbook (7th Edition):

Yu, Zhuqing. “Uniformly consistent bootstrap confidence intervals.” 2012. Web. 21 Feb 2020.

Vancouver:

Yu Z. Uniformly consistent bootstrap confidence intervals. [Internet] [Masters thesis]. University of Hong Kong; 2012. [cited 2020 Feb 21]. Available from: Yu, Z. [俞翥清]. (2012). Uniformly consistent bootstrap confidence intervals. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4775299 ; http://dx.doi.org/10.5353/th_b4775299 ; http://hdl.handle.net/10722/174479.

Council of Science Editors:

Yu Z. Uniformly consistent bootstrap confidence intervals. [Masters Thesis]. University of Hong Kong; 2012. Available from: Yu, Z. [俞翥清]. (2012). Uniformly consistent bootstrap confidence intervals. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4775299 ; http://dx.doi.org/10.5353/th_b4775299 ; http://hdl.handle.net/10722/174479


University of Hong Kong

4. 鄧國良; Tang, Kwok-leong. Sensitivity analysis of bootstrap methods.

Degree: Master of Social Sciences, 1993, University of Hong Kong

published_or_final_version

Applied Statistics

Master

Master of Social Sciences

Subjects/Keywords: Bootstrap (Statistics)

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APA (6th Edition):

鄧國良; Tang, K. (1993). Sensitivity analysis of bootstrap methods. (Masters Thesis). University of Hong Kong. Retrieved from Tang, K. [鄧國良]. (1993). Sensitivity analysis of bootstrap methods. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3197747 ; http://dx.doi.org/10.5353/th_b3197747 ; http://hdl.handle.net/10722/29176

Chicago Manual of Style (16th Edition):

鄧國良; Tang, Kwok-leong. “Sensitivity analysis of bootstrap methods.” 1993. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Tang, K. [鄧國良]. (1993). Sensitivity analysis of bootstrap methods. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3197747 ; http://dx.doi.org/10.5353/th_b3197747 ; http://hdl.handle.net/10722/29176.

MLA Handbook (7th Edition):

鄧國良; Tang, Kwok-leong. “Sensitivity analysis of bootstrap methods.” 1993. Web. 21 Feb 2020.

Vancouver:

鄧國良; Tang K. Sensitivity analysis of bootstrap methods. [Internet] [Masters thesis]. University of Hong Kong; 1993. [cited 2020 Feb 21]. Available from: Tang, K. [鄧國良]. (1993). Sensitivity analysis of bootstrap methods. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3197747 ; http://dx.doi.org/10.5353/th_b3197747 ; http://hdl.handle.net/10722/29176.

Council of Science Editors:

鄧國良; Tang K. Sensitivity analysis of bootstrap methods. [Masters Thesis]. University of Hong Kong; 1993. Available from: Tang, K. [鄧國良]. (1993). Sensitivity analysis of bootstrap methods. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3197747 ; http://dx.doi.org/10.5353/th_b3197747 ; http://hdl.handle.net/10722/29176


University of Hong Kong

5. 宗錦軒; Chung, Kam-hin. A study of M-out-of-N bootstrap approaches to construction of confidence sets.

Degree: M. Phil., 1998, University of Hong Kong

published_or_final_version

Statistics

Master

Master of Philosophy

Subjects/Keywords: Bootstrap (Statistics)

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APA (6th Edition):

宗錦軒; Chung, K. (1998). A study of M-out-of-N bootstrap approaches to construction of confidence sets. (Masters Thesis). University of Hong Kong. Retrieved from Chung, K. [宗錦軒]. (1998). A study of M-out-of-N bootstrap approaches to construction of confidence sets. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3121521 ; http://dx.doi.org/10.5353/th_b3121521 ; http://hdl.handle.net/10722/34107

Chicago Manual of Style (16th Edition):

宗錦軒; Chung, Kam-hin. “A study of M-out-of-N bootstrap approaches to construction of confidence sets.” 1998. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Chung, K. [宗錦軒]. (1998). A study of M-out-of-N bootstrap approaches to construction of confidence sets. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3121521 ; http://dx.doi.org/10.5353/th_b3121521 ; http://hdl.handle.net/10722/34107.

MLA Handbook (7th Edition):

宗錦軒; Chung, Kam-hin. “A study of M-out-of-N bootstrap approaches to construction of confidence sets.” 1998. Web. 21 Feb 2020.

Vancouver:

宗錦軒; Chung K. A study of M-out-of-N bootstrap approaches to construction of confidence sets. [Internet] [Masters thesis]. University of Hong Kong; 1998. [cited 2020 Feb 21]. Available from: Chung, K. [宗錦軒]. (1998). A study of M-out-of-N bootstrap approaches to construction of confidence sets. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3121521 ; http://dx.doi.org/10.5353/th_b3121521 ; http://hdl.handle.net/10722/34107.

Council of Science Editors:

宗錦軒; Chung K. A study of M-out-of-N bootstrap approaches to construction of confidence sets. [Masters Thesis]. University of Hong Kong; 1998. Available from: Chung, K. [宗錦軒]. (1998). A study of M-out-of-N bootstrap approaches to construction of confidence sets. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3121521 ; http://dx.doi.org/10.5353/th_b3121521 ; http://hdl.handle.net/10722/34107


University of Hong Kong

6. Cheung, Kar-yee. Iteration of m out of n bootstrap in non-regular cases.

Degree: M. Phil., 2003, University of Hong Kong

published_or_final_version

toc

abstract

Statistics and Actuarial Science

Master

Master of Philosophy

Subjects/Keywords: Bootstrap (Statistics)

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APA (6th Edition):

Cheung, K. (2003). Iteration of m out of n bootstrap in non-regular cases. (Masters Thesis). University of Hong Kong. Retrieved from Cheung, K. [張家愉]. (2003). Iteration of m out of n bootstrap in non-regular cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2665243 ; http://dx.doi.org/10.5353/th_b2665243 ; http://hdl.handle.net/10722/39070

Chicago Manual of Style (16th Edition):

Cheung, Kar-yee. “Iteration of m out of n bootstrap in non-regular cases.” 2003. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Cheung, K. [張家愉]. (2003). Iteration of m out of n bootstrap in non-regular cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2665243 ; http://dx.doi.org/10.5353/th_b2665243 ; http://hdl.handle.net/10722/39070.

MLA Handbook (7th Edition):

Cheung, Kar-yee. “Iteration of m out of n bootstrap in non-regular cases.” 2003. Web. 21 Feb 2020.

Vancouver:

Cheung K. Iteration of m out of n bootstrap in non-regular cases. [Internet] [Masters thesis]. University of Hong Kong; 2003. [cited 2020 Feb 21]. Available from: Cheung, K. [張家愉]. (2003). Iteration of m out of n bootstrap in non-regular cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2665243 ; http://dx.doi.org/10.5353/th_b2665243 ; http://hdl.handle.net/10722/39070.

Council of Science Editors:

Cheung K. Iteration of m out of n bootstrap in non-regular cases. [Masters Thesis]. University of Hong Kong; 2003. Available from: Cheung, K. [張家愉]. (2003). Iteration of m out of n bootstrap in non-regular cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2665243 ; http://dx.doi.org/10.5353/th_b2665243 ; http://hdl.handle.net/10722/39070


University of Hong Kong

7. 陳子軒.; Chan, Tsz-hin. Hybrid bootstrap procedures for shrinkage-type estimators.

Degree: M. Phil., 2012, University of Hong Kong

In statistical inference, one is often interested in estimating the distribution of a root, which is a function of the data and the parameters only.… (more)

Subjects/Keywords: Estimation theory.; Bootstrap (Statistics)

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APA (6th Edition):

陳子軒.; Chan, T. (2012). Hybrid bootstrap procedures for shrinkage-type estimators. (Masters Thesis). University of Hong Kong. Retrieved from Chan, T. [陳子軒]. (2012). Hybrid bootstrap procedures for shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852182 ; http://dx.doi.org/10.5353/th_b4852182 ; http://hdl.handle.net/10722/179991

Chicago Manual of Style (16th Edition):

陳子軒.; Chan, Tsz-hin. “Hybrid bootstrap procedures for shrinkage-type estimators.” 2012. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Chan, T. [陳子軒]. (2012). Hybrid bootstrap procedures for shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852182 ; http://dx.doi.org/10.5353/th_b4852182 ; http://hdl.handle.net/10722/179991.

MLA Handbook (7th Edition):

陳子軒.; Chan, Tsz-hin. “Hybrid bootstrap procedures for shrinkage-type estimators.” 2012. Web. 21 Feb 2020.

Vancouver:

陳子軒.; Chan T. Hybrid bootstrap procedures for shrinkage-type estimators. [Internet] [Masters thesis]. University of Hong Kong; 2012. [cited 2020 Feb 21]. Available from: Chan, T. [陳子軒]. (2012). Hybrid bootstrap procedures for shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852182 ; http://dx.doi.org/10.5353/th_b4852182 ; http://hdl.handle.net/10722/179991.

Council of Science Editors:

陳子軒.; Chan T. Hybrid bootstrap procedures for shrinkage-type estimators. [Masters Thesis]. University of Hong Kong; 2012. Available from: Chan, T. [陳子軒]. (2012). Hybrid bootstrap procedures for shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852182 ; http://dx.doi.org/10.5353/th_b4852182 ; http://hdl.handle.net/10722/179991


Michigan State University

8. Bagaka's, Joshua Gisemba. Two level nested hierarchical linear model with random intercepts via the bootstrap.

Degree: PhD, Department of Counseling, Educational Psychology and Special Education, 1992, Michigan State University

Subjects/Keywords: Bootstrap (Statistics)

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APA (6th Edition):

Bagaka's, J. G. (1992). Two level nested hierarchical linear model with random intercepts via the bootstrap. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:29058

Chicago Manual of Style (16th Edition):

Bagaka's, Joshua Gisemba. “Two level nested hierarchical linear model with random intercepts via the bootstrap.” 1992. Doctoral Dissertation, Michigan State University. Accessed February 21, 2020. http://etd.lib.msu.edu/islandora/object/etd:29058.

MLA Handbook (7th Edition):

Bagaka's, Joshua Gisemba. “Two level nested hierarchical linear model with random intercepts via the bootstrap.” 1992. Web. 21 Feb 2020.

Vancouver:

Bagaka's JG. Two level nested hierarchical linear model with random intercepts via the bootstrap. [Internet] [Doctoral dissertation]. Michigan State University; 1992. [cited 2020 Feb 21]. Available from: http://etd.lib.msu.edu/islandora/object/etd:29058.

Council of Science Editors:

Bagaka's JG. Two level nested hierarchical linear model with random intercepts via the bootstrap. [Doctoral Dissertation]. Michigan State University; 1992. Available from: http://etd.lib.msu.edu/islandora/object/etd:29058


University of Hong Kong

9. 刘俊宏; Liu, Junhong. A bootstrap procedure for unsupervised classification based on variable and observation resampling.

Degree: M. Phil., 2017, University of Hong Kong

In this thesis, we first investigate the performance of bagged sparse 2-means clustering using a conventional bagging procedure. We next propose a cross bagging procedure,… (more)

Subjects/Keywords: Bootstrap (Statistics); Cluster analysis; Mathematical statistics

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APA (6th Edition):

刘俊宏; Liu, J. (2017). A bootstrap procedure for unsupervised classification based on variable and observation resampling. (Masters Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/239967

Chicago Manual of Style (16th Edition):

刘俊宏; Liu, Junhong. “A bootstrap procedure for unsupervised classification based on variable and observation resampling.” 2017. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. http://hdl.handle.net/10722/239967.

MLA Handbook (7th Edition):

刘俊宏; Liu, Junhong. “A bootstrap procedure for unsupervised classification based on variable and observation resampling.” 2017. Web. 21 Feb 2020.

Vancouver:

刘俊宏; Liu J. A bootstrap procedure for unsupervised classification based on variable and observation resampling. [Internet] [Masters thesis]. University of Hong Kong; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10722/239967.

Council of Science Editors:

刘俊宏; Liu J. A bootstrap procedure for unsupervised classification based on variable and observation resampling. [Masters Thesis]. University of Hong Kong; 2017. Available from: http://hdl.handle.net/10722/239967


University of Melbourne

10. Miller, Hugh Richard. Statistical methods for the analysis of high-dimensional data.

Degree: 2010, University of Melbourne

 High-dimensional statistics has captured the imagination of many statisticians worldwide, because of its interesting applications as well as the unique challenges faced. This thesis addresses… (more)

Subjects/Keywords: high dimensional statistics; nonparametric statistics; ranking; bootstrap

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APA (6th Edition):

Miller, H. R. (2010). Statistical methods for the analysis of high-dimensional data. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/35462

Chicago Manual of Style (16th Edition):

Miller, Hugh Richard. “Statistical methods for the analysis of high-dimensional data.” 2010. Doctoral Dissertation, University of Melbourne. Accessed February 21, 2020. http://hdl.handle.net/11343/35462.

MLA Handbook (7th Edition):

Miller, Hugh Richard. “Statistical methods for the analysis of high-dimensional data.” 2010. Web. 21 Feb 2020.

Vancouver:

Miller HR. Statistical methods for the analysis of high-dimensional data. [Internet] [Doctoral dissertation]. University of Melbourne; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/11343/35462.

Council of Science Editors:

Miller HR. Statistical methods for the analysis of high-dimensional data. [Doctoral Dissertation]. University of Melbourne; 2010. Available from: http://hdl.handle.net/11343/35462


Nelson Mandela Metropolitan University

11. Deyzel, Jani Igna. Bootstrap-based tolerance intervals for photovoltaic energy yield assessments.

Degree: 2019, Nelson Mandela Metropolitan University

 The assessment of the energy yield of a photovoltaic (PV) system is one of the key assessments required by investors and developers. Currently, available methods… (more)

Subjects/Keywords: Bootstrap (Statistics); Mathematical statistics; Photovoltaic power systems

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APA (6th Edition):

Deyzel, J. I. (2019). Bootstrap-based tolerance intervals for photovoltaic energy yield assessments. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/39469

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):

Deyzel, Jani Igna. “Bootstrap-based tolerance intervals for photovoltaic energy yield assessments.” 2019. Thesis, Nelson Mandela Metropolitan University. Accessed February 21, 2020. http://hdl.handle.net/10948/39469.

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

MLA Handbook (7th Edition):

Deyzel, Jani Igna. “Bootstrap-based tolerance intervals for photovoltaic energy yield assessments.” 2019. Web. 21 Feb 2020.

Vancouver:

Deyzel JI. Bootstrap-based tolerance intervals for photovoltaic energy yield assessments. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2019. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10948/39469.

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

Council of Science Editors:

Deyzel JI. Bootstrap-based tolerance intervals for photovoltaic energy yield assessments. [Thesis]. Nelson Mandela Metropolitan University; 2019. Available from: http://hdl.handle.net/10948/39469

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


Bowling Green State University

12. Rashid, Mamunur. Inference on Logistic Regression Models.

Degree: PhD, Mathematics/Probability and Statistics, 2008, Bowling Green State University

  The logistic regression model is one of the popular mathematical models for the analysis of binary data with applications in physical, biomedical, and behavioral… (more)

Subjects/Keywords: Statistics; LOGISTIC REGRESSION MODELS; z1; bootstrap

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APA (6th Edition):

Rashid, M. (2008). Inference on Logistic Regression Models. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1214165101

Chicago Manual of Style (16th Edition):

Rashid, Mamunur. “Inference on Logistic Regression Models.” 2008. Doctoral Dissertation, Bowling Green State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1214165101.

MLA Handbook (7th Edition):

Rashid, Mamunur. “Inference on Logistic Regression Models.” 2008. Web. 21 Feb 2020.

Vancouver:

Rashid M. Inference on Logistic Regression Models. [Internet] [Doctoral dissertation]. Bowling Green State University; 2008. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1214165101.

Council of Science Editors:

Rashid M. Inference on Logistic Regression Models. [Doctoral Dissertation]. Bowling Green State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1214165101


Columbia University

13. Cho, Yong Bum. Measuring Spatial Extremal Dependence.

Degree: 2016, Columbia University

 The focus of this thesis is extremal dependence among spatial observations. In particular, this research extends the notion of the extremogram to the spatial process… (more)

Subjects/Keywords: Spatial analysis (Statistics); Statistics; Bootstrap (Statistics); Extremal problems (Mathematics)

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APA (6th Edition):

Cho, Y. B. (2016). Measuring Spatial Extremal Dependence. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8PR7W8T

Chicago Manual of Style (16th Edition):

Cho, Yong Bum. “Measuring Spatial Extremal Dependence.” 2016. Doctoral Dissertation, Columbia University. Accessed February 21, 2020. https://doi.org/10.7916/D8PR7W8T.

MLA Handbook (7th Edition):

Cho, Yong Bum. “Measuring Spatial Extremal Dependence.” 2016. Web. 21 Feb 2020.

Vancouver:

Cho YB. Measuring Spatial Extremal Dependence. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Feb 21]. Available from: https://doi.org/10.7916/D8PR7W8T.

Council of Science Editors:

Cho YB. Measuring Spatial Extremal Dependence. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8PR7W8T


University of Hong Kong

14. Wei, Bei. Nonparametric statistical methods based on depth function and bootstrap.

Degree: PhD, 2010, University of Hong Kong

published_or_final_version

Statistics and Actuarial Science

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Lee, SMS.

Subjects/Keywords: Nonparametric statistics.; Bootstrap (Statistics)

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APA (6th Edition):

Wei, B. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Doctoral Dissertation). University of Hong Kong. Retrieved from Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042

Chicago Manual of Style (16th Edition):

Wei, Bei. “Nonparametric statistical methods based on depth function and bootstrap.” 2010. Doctoral Dissertation, University of Hong Kong. Accessed February 21, 2020. Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042.

MLA Handbook (7th Edition):

Wei, Bei. “Nonparametric statistical methods based on depth function and bootstrap.” 2010. Web. 21 Feb 2020.

Vancouver:

Wei B. Nonparametric statistical methods based on depth function and bootstrap. [Internet] [Doctoral dissertation]. University of Hong Kong; 2010. [cited 2020 Feb 21]. Available from: Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042.

Council of Science Editors:

Wei B. Nonparametric statistical methods based on depth function and bootstrap. [Doctoral Dissertation]. University of Hong Kong; 2010. Available from: Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042


University of Johannesburg

15. Musekiwa, Alfred. Estimating the slope in the simple linear errors-in-variables model.

Degree: 2012, University of Johannesburg

M.Sc.

In this study we consider the problem ofestiniating the slope in the simple linear errors-in-variables model. There are two different types of relationship that… (more)

Subjects/Keywords: Variables (Mathematics); Error analysis (Mathematics); Bootstrap (Statistics); Instrumental variables (Statistics)

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

APA (6th Edition):

Musekiwa, A. (2012). Estimating the slope in the simple linear errors-in-variables model. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/5493

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):

Musekiwa, Alfred. “Estimating the slope in the simple linear errors-in-variables model.” 2012. Thesis, University of Johannesburg. Accessed February 21, 2020. http://hdl.handle.net/10210/5493.

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

MLA Handbook (7th Edition):

Musekiwa, Alfred. “Estimating the slope in the simple linear errors-in-variables model.” 2012. Web. 21 Feb 2020.

Vancouver:

Musekiwa A. Estimating the slope in the simple linear errors-in-variables model. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10210/5493.

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

Council of Science Editors:

Musekiwa A. Estimating the slope in the simple linear errors-in-variables model. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/5493

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


McMaster University

16. Ramunno, Daniel. The Effects of Agriculture on Canada's Major Watersheds.

Degree: MSc, 2011, McMaster University

Water contamination is one of the major environmental issues that negatively impacts water quality of watersheds. It negatively affects drinking water and aquatic wildlife,… (more)

Subjects/Keywords: watersheds; principal component analysis; jackknife; bootstrap; Applied Statistics; Applied Statistics

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APA (6th Edition):

Ramunno, D. (2011). The Effects of Agriculture on Canada's Major Watersheds. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/10479

Chicago Manual of Style (16th Edition):

Ramunno, Daniel. “The Effects of Agriculture on Canada's Major Watersheds.” 2011. Masters Thesis, McMaster University. Accessed February 21, 2020. http://hdl.handle.net/11375/10479.

MLA Handbook (7th Edition):

Ramunno, Daniel. “The Effects of Agriculture on Canada's Major Watersheds.” 2011. Web. 21 Feb 2020.

Vancouver:

Ramunno D. The Effects of Agriculture on Canada's Major Watersheds. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/11375/10479.

Council of Science Editors:

Ramunno D. The Effects of Agriculture on Canada's Major Watersheds. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/10479


NSYSU

17. Chen, Kuang-wei. Stationarity of Inflation: Evidence from Bootstrap Sequential Quantile Test.

Degree: Master, Economics, 2013, NSYSU

 OâConnell (1998) points out that traditional panel unit root tests designed for cross-sectionally independent panels can be highly distorted for cross-sectionally correlated panels. Therefore, new… (more)

Subjects/Keywords: inflation rate; block bootstrap; order statistics; bootstrap sequential quantile test; cross-sectionally dependent panel

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APA (6th Edition):

Chen, K. (2013). Stationarity of Inflation: Evidence from Bootstrap Sequential Quantile Test. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0517113-221112

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

Chicago Manual of Style (16th Edition):

Chen, Kuang-wei. “Stationarity of Inflation: Evidence from Bootstrap Sequential Quantile Test.” 2013. Thesis, NSYSU. Accessed February 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0517113-221112.

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

MLA Handbook (7th Edition):

Chen, Kuang-wei. “Stationarity of Inflation: Evidence from Bootstrap Sequential Quantile Test.” 2013. Web. 21 Feb 2020.

Vancouver:

Chen K. Stationarity of Inflation: Evidence from Bootstrap Sequential Quantile Test. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Feb 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0517113-221112.

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

Council of Science Editors:

Chen K. Stationarity of Inflation: Evidence from Bootstrap Sequential Quantile Test. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0517113-221112

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


Université de Sherbrooke

18. Bahraoui, Tarik. Tests de type fonction caractéristique en inférence de copules .

Degree: 2017, Université de Sherbrooke

 Une classe générale de statistiques de rangs basées sur la fonction caractéristique est introduite afin de tester l'hypothèse composite d'appartenance à une famille de copules… (more)

Subjects/Keywords: Goodness-of-fit; Characteristic function copula; Parametric bootstrap; U and V-statistics; Multiplier bootstrap; Rank statistics

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APA (6th Edition):

Bahraoui, T. (2017). Tests de type fonction caractéristique en inférence de copules . (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/11255

Chicago Manual of Style (16th Edition):

Bahraoui, Tarik. “Tests de type fonction caractéristique en inférence de copules .” 2017. Doctoral Dissertation, Université de Sherbrooke. Accessed February 21, 2020. http://hdl.handle.net/11143/11255.

MLA Handbook (7th Edition):

Bahraoui, Tarik. “Tests de type fonction caractéristique en inférence de copules .” 2017. Web. 21 Feb 2020.

Vancouver:

Bahraoui T. Tests de type fonction caractéristique en inférence de copules . [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/11143/11255.

Council of Science Editors:

Bahraoui T. Tests de type fonction caractéristique en inférence de copules . [Doctoral Dissertation]. Université de Sherbrooke; 2017. Available from: http://hdl.handle.net/11143/11255


University of Hong Kong

19. Pun, Man-chi. M out of n bootstrap for nonstandard M-estimation: consistency and robustness.

Degree: M. Phil., 2004, University of Hong Kong

toc

published_or_final_version

abstract

Statistics and Actuarial Science

Master

Master of Philosophy

Advisors/Committee Members: Lee, SMS.

Subjects/Keywords: Estimation theory.; Bootstrap (Statistics)

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APA (6th Edition):

Pun, M. (2004). M out of n bootstrap for nonstandard M-estimation: consistency and robustness. (Masters Thesis). University of Hong Kong. Retrieved from Pun, M. [潘敏芝]. (2004). M out of n bootstrap for nonstandard M-estimation : consistency and robustness. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2983359 ; http://dx.doi.org/10.5353/th_b2983359 ; http://hdl.handle.net/10722/31582

Chicago Manual of Style (16th Edition):

Pun, Man-chi. “M out of n bootstrap for nonstandard M-estimation: consistency and robustness.” 2004. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Pun, M. [潘敏芝]. (2004). M out of n bootstrap for nonstandard M-estimation : consistency and robustness. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2983359 ; http://dx.doi.org/10.5353/th_b2983359 ; http://hdl.handle.net/10722/31582.

MLA Handbook (7th Edition):

Pun, Man-chi. “M out of n bootstrap for nonstandard M-estimation: consistency and robustness.” 2004. Web. 21 Feb 2020.

Vancouver:

Pun M. M out of n bootstrap for nonstandard M-estimation: consistency and robustness. [Internet] [Masters thesis]. University of Hong Kong; 2004. [cited 2020 Feb 21]. Available from: Pun, M. [潘敏芝]. (2004). M out of n bootstrap for nonstandard M-estimation : consistency and robustness. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2983359 ; http://dx.doi.org/10.5353/th_b2983359 ; http://hdl.handle.net/10722/31582.

Council of Science Editors:

Pun M. M out of n bootstrap for nonstandard M-estimation: consistency and robustness. [Masters Thesis]. University of Hong Kong; 2004. Available from: Pun, M. [潘敏芝]. (2004). M out of n bootstrap for nonstandard M-estimation : consistency and robustness. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2983359 ; http://dx.doi.org/10.5353/th_b2983359 ; http://hdl.handle.net/10722/31582


University of Hong Kong

20. 唐田园.; Tang, Tianyuan. On uniform consistency of confidence regions based on shrinkage-type estimators.

Degree: M. Phil., 2011, University of Hong Kong

published_or_final_version

Statistics and Actuarial Science

Master

Master of Philosophy

Advisors/Committee Members: Lee, SMS.

Subjects/Keywords: Estimation theory.; Bootstrap (Statistics)

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APA (6th Edition):

唐田园.; Tang, T. (2011). On uniform consistency of confidence regions based on shrinkage-type estimators. (Masters Thesis). University of Hong Kong. Retrieved from Tang, T. [唐田园]. (2011). On uniform consistency of confidence regions based on shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4715203 ; http://dx.doi.org/10.5353/th_b4715203 ; http://hdl.handle.net/10722/145694

Chicago Manual of Style (16th Edition):

唐田园.; Tang, Tianyuan. “On uniform consistency of confidence regions based on shrinkage-type estimators.” 2011. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Tang, T. [唐田园]. (2011). On uniform consistency of confidence regions based on shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4715203 ; http://dx.doi.org/10.5353/th_b4715203 ; http://hdl.handle.net/10722/145694.

MLA Handbook (7th Edition):

唐田园.; Tang, Tianyuan. “On uniform consistency of confidence regions based on shrinkage-type estimators.” 2011. Web. 21 Feb 2020.

Vancouver:

唐田园.; Tang T. On uniform consistency of confidence regions based on shrinkage-type estimators. [Internet] [Masters thesis]. University of Hong Kong; 2011. [cited 2020 Feb 21]. Available from: Tang, T. [唐田园]. (2011). On uniform consistency of confidence regions based on shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4715203 ; http://dx.doi.org/10.5353/th_b4715203 ; http://hdl.handle.net/10722/145694.

Council of Science Editors:

唐田园.; Tang T. On uniform consistency of confidence regions based on shrinkage-type estimators. [Masters Thesis]. University of Hong Kong; 2011. Available from: Tang, T. [唐田园]. (2011). On uniform consistency of confidence regions based on shrinkage-type estimators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4715203 ; http://dx.doi.org/10.5353/th_b4715203 ; http://hdl.handle.net/10722/145694


Temple University

21. Kim, Hang. TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING.

Degree: PhD, 2018, Temple University

Statistics

In this dissertation, we review the basic properties of the bootstrap and time series application. Then we apply parametric bootstrap on three simulated normal… (more)

Subjects/Keywords: Statistics;

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

APA (6th Edition):

Kim, H. (2018). TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,490644

Chicago Manual of Style (16th Edition):

Kim, Hang. “TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING.” 2018. Doctoral Dissertation, Temple University. Accessed February 21, 2020. http://digital.library.temple.edu/u?/p245801coll10,490644.

MLA Handbook (7th Edition):

Kim, Hang. “TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING.” 2018. Web. 21 Feb 2020.

Vancouver:

Kim H. TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2020 Feb 21]. Available from: http://digital.library.temple.edu/u?/p245801coll10,490644.

Council of Science Editors:

Kim H. TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,490644


University of Kansas

22. Staggs, Vincent. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.

Degree: PhD, Psychology, 2009, University of Kansas

 In mixed models, empirical best linear unbiased estimators of fixed effects generally have mean square errors (MSEs) that cannot be written in closed form. Standard… (more)

Subjects/Keywords: Psychology; Psychometrics; Statistics; Bootstrap; Hierarchical linear model; Mixed model; Multilevel model

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APA (6th Edition):

Staggs, V. (2009). Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5513

Chicago Manual of Style (16th Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Doctoral Dissertation, University of Kansas. Accessed February 21, 2020. http://hdl.handle.net/1808/5513.

MLA Handbook (7th Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Web. 21 Feb 2020.

Vancouver:

Staggs V. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1808/5513.

Council of Science Editors:

Staggs V. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5513


University of California – San Diego

23. Moon, Jong-Myun. Essays in Econometrics.

Degree: Economics, 2014, University of California – San Diego

 Chapter 1 studies transformation models T₀(Y)=Xʹ[beta]₀ + [epsilon] with an unknown monotone transformation T₀. Our focus is on the identification and estimation of [beta]₀, leaving… (more)

Subjects/Keywords: Estimation theory; Sieves (Mathematics); Variational principles; Bootstrap (Statistics); Distribution (Probability theory)

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APA (6th Edition):

Moon, J. (2014). Essays in Econometrics. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/18k39585

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):

Moon, Jong-Myun. “Essays in Econometrics.” 2014. Thesis, University of California – San Diego. Accessed February 21, 2020. http://www.escholarship.org/uc/item/18k39585.

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

MLA Handbook (7th Edition):

Moon, Jong-Myun. “Essays in Econometrics.” 2014. Web. 21 Feb 2020.

Vancouver:

Moon J. Essays in Econometrics. [Internet] [Thesis]. University of California – San Diego; 2014. [cited 2020 Feb 21]. Available from: http://www.escholarship.org/uc/item/18k39585.

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

Council of Science Editors:

Moon J. Essays in Econometrics. [Thesis]. University of California – San Diego; 2014. Available from: http://www.escholarship.org/uc/item/18k39585

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


University of California – San Diego

24. Kim, Min Seong. Improved inference for spatial and panel models.

Degree: Economics, 2011, University of California – San Diego

 Chapter 1 is "Heteroskedasticity and Spatiotemporal Dependence Robust Inference for Linear Panel Models with Fixed Effects." This chapter studies robust inference for linear panel models… (more)

Subjects/Keywords: Econometrics; Estimation theory Asymptotic theory; Asymptotic theory Regression analysis; Bootstrap (Statistics)

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APA (6th Edition):

Kim, M. S. (2011). Improved inference for spatial and panel models. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/4r52q389

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):

Kim, Min Seong. “Improved inference for spatial and panel models.” 2011. Thesis, University of California – San Diego. Accessed February 21, 2020. http://www.escholarship.org/uc/item/4r52q389.

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

MLA Handbook (7th Edition):

Kim, Min Seong. “Improved inference for spatial and panel models.” 2011. Web. 21 Feb 2020.

Vancouver:

Kim MS. Improved inference for spatial and panel models. [Internet] [Thesis]. University of California – San Diego; 2011. [cited 2020 Feb 21]. Available from: http://www.escholarship.org/uc/item/4r52q389.

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

Council of Science Editors:

Kim MS. Improved inference for spatial and panel models. [Thesis]. University of California – San Diego; 2011. Available from: http://www.escholarship.org/uc/item/4r52q389

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


University of California – Berkeley

25. Bhattacharyya, Sharmodeep. A Study of High-dimensional Clustering and Statistical Inference on Networks.

Degree: Statistics, 2013, University of California – Berkeley

 Clustering is an important unsupervised classification technique. In supervised classification, we are provided with a collection of labeled (pre-classified) patterns and the problem is to… (more)

Subjects/Keywords: Statistics; Bootstrap; Clustering; Community detection; Elliptical distributions; High-dimensional inference; Networks

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APA (6th Edition):

Bhattacharyya, S. (2013). A Study of High-dimensional Clustering and Statistical Inference on Networks. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9sx0k48k

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):

Bhattacharyya, Sharmodeep. “A Study of High-dimensional Clustering and Statistical Inference on Networks.” 2013. Thesis, University of California – Berkeley. Accessed February 21, 2020. http://www.escholarship.org/uc/item/9sx0k48k.

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

MLA Handbook (7th Edition):

Bhattacharyya, Sharmodeep. “A Study of High-dimensional Clustering and Statistical Inference on Networks.” 2013. Web. 21 Feb 2020.

Vancouver:

Bhattacharyya S. A Study of High-dimensional Clustering and Statistical Inference on Networks. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Feb 21]. Available from: http://www.escholarship.org/uc/item/9sx0k48k.

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

Council of Science Editors:

Bhattacharyya S. A Study of High-dimensional Clustering and Statistical Inference on Networks. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/9sx0k48k

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


Western Michigan University

26. Flikkema, Robert M. Statistical Methodology for Data with Multiple Limits of Detection.

Degree: PhD, Statistics, 2016, Western Michigan University

  Limitations of instruments used to collect continuous data sometimes lead to obtaining observations lower than a limit of detection. These observations are known as… (more)

Subjects/Keywords: Nondetects; simulations; bootstrap; lognormal; gamma; statistical methodology; Statistics and Probability

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APA (6th Edition):

Flikkema, R. M. (2016). Statistical Methodology for Data with Multiple Limits of Detection. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/1619

Chicago Manual of Style (16th Edition):

Flikkema, Robert M. “Statistical Methodology for Data with Multiple Limits of Detection.” 2016. Doctoral Dissertation, Western Michigan University. Accessed February 21, 2020. https://scholarworks.wmich.edu/dissertations/1619.

MLA Handbook (7th Edition):

Flikkema, Robert M. “Statistical Methodology for Data with Multiple Limits of Detection.” 2016. Web. 21 Feb 2020.

Vancouver:

Flikkema RM. Statistical Methodology for Data with Multiple Limits of Detection. [Internet] [Doctoral dissertation]. Western Michigan University; 2016. [cited 2020 Feb 21]. Available from: https://scholarworks.wmich.edu/dissertations/1619.

Council of Science Editors:

Flikkema RM. Statistical Methodology for Data with Multiple Limits of Detection. [Doctoral Dissertation]. Western Michigan University; 2016. Available from: https://scholarworks.wmich.edu/dissertations/1619


Arizona State University

27. Dassanayake, Mudiyanselage Maduranga Kasun. A Study of Components of Pearson's Chi-Square Based on Marginal Distributions of Cross-Classified Tables for Binary Variables.

Degree: Statistics, 2018, Arizona State University

 The Pearson and likelihood ratio statistics are well-known in goodness-of-fit testing and are commonly used for models applied to multinomial count data. When data are… (more)

Subjects/Keywords: Statistics; Asymptotic Power; Bootstrap; Item Response Model; Orthogonal Components; Sparseness

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APA (6th Edition):

Dassanayake, M. M. K. (2018). A Study of Components of Pearson's Chi-Square Based on Marginal Distributions of Cross-Classified Tables for Binary Variables. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/49121

Chicago Manual of Style (16th Edition):

Dassanayake, Mudiyanselage Maduranga Kasun. “A Study of Components of Pearson's Chi-Square Based on Marginal Distributions of Cross-Classified Tables for Binary Variables.” 2018. Doctoral Dissertation, Arizona State University. Accessed February 21, 2020. http://repository.asu.edu/items/49121.

MLA Handbook (7th Edition):

Dassanayake, Mudiyanselage Maduranga Kasun. “A Study of Components of Pearson's Chi-Square Based on Marginal Distributions of Cross-Classified Tables for Binary Variables.” 2018. Web. 21 Feb 2020.

Vancouver:

Dassanayake MMK. A Study of Components of Pearson's Chi-Square Based on Marginal Distributions of Cross-Classified Tables for Binary Variables. [Internet] [Doctoral dissertation]. Arizona State University; 2018. [cited 2020 Feb 21]. Available from: http://repository.asu.edu/items/49121.

Council of Science Editors:

Dassanayake MMK. A Study of Components of Pearson's Chi-Square Based on Marginal Distributions of Cross-Classified Tables for Binary Variables. [Doctoral Dissertation]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/49121


Florida International University

28. Guo, Yawen. On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study.

Degree: MS, Statistics, 2016, Florida International University

  The purpose of this thesis is to propose some test statistics for testing the skewness and kurtosis parameters of a distribution, not limited to… (more)

Subjects/Keywords: Test Statistics; Skewness; Kurtosis; Bootstrap; Simulation; Statistical Methodology; Statistical Theory

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

APA (6th Edition):

Guo, Y. (2016). On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3045 ; 10.25148/etd.FIDC001189 ; FIDC001189

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):

Guo, Yawen. “On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study.” 2016. Thesis, Florida International University. Accessed February 21, 2020. https://digitalcommons.fiu.edu/etd/3045 ; 10.25148/etd.FIDC001189 ; FIDC001189.

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

MLA Handbook (7th Edition):

Guo, Yawen. “On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study.” 2016. Web. 21 Feb 2020.

Vancouver:

Guo Y. On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study. [Internet] [Thesis]. Florida International University; 2016. [cited 2020 Feb 21]. Available from: https://digitalcommons.fiu.edu/etd/3045 ; 10.25148/etd.FIDC001189 ; FIDC001189.

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

Council of Science Editors:

Guo Y. On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study. [Thesis]. Florida International University; 2016. Available from: https://digitalcommons.fiu.edu/etd/3045 ; 10.25148/etd.FIDC001189 ; FIDC001189

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


University of Hong Kong

29. 陳遠輝.; Chan, Yuen-fai. On exact algorithms for small-sample bootstrap iterations and their applications.

Degree: M. Phil., 2000, University of Hong Kong

published_or_final_version

Statistics and Actuarial Science

Master

Master of Philosophy

Advisors/Committee Members: Lee, SMS.

Subjects/Keywords: Confidence intervals.; Sampling (Statistics); Bootstrap (Statistics)

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

APA (6th Edition):

陳遠輝.; Chan, Y. (2000). On exact algorithms for small-sample bootstrap iterations and their applications. (Masters Thesis). University of Hong Kong. Retrieved from Chan, Y. [陳遠輝]. (2000). On exact algorithms for small-sample bootstrap iterations and their applications. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122229 ; http://dx.doi.org/10.5353/th_b3122229 ; http://hdl.handle.net/10722/33634

Chicago Manual of Style (16th Edition):

陳遠輝.; Chan, Yuen-fai. “On exact algorithms for small-sample bootstrap iterations and their applications.” 2000. Masters Thesis, University of Hong Kong. Accessed February 21, 2020. Chan, Y. [陳遠輝]. (2000). On exact algorithms for small-sample bootstrap iterations and their applications. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122229 ; http://dx.doi.org/10.5353/th_b3122229 ; http://hdl.handle.net/10722/33634.

MLA Handbook (7th Edition):

陳遠輝.; Chan, Yuen-fai. “On exact algorithms for small-sample bootstrap iterations and their applications.” 2000. Web. 21 Feb 2020.

Vancouver:

陳遠輝.; Chan Y. On exact algorithms for small-sample bootstrap iterations and their applications. [Internet] [Masters thesis]. University of Hong Kong; 2000. [cited 2020 Feb 21]. Available from: Chan, Y. [陳遠輝]. (2000). On exact algorithms for small-sample bootstrap iterations and their applications. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122229 ; http://dx.doi.org/10.5353/th_b3122229 ; http://hdl.handle.net/10722/33634.

Council of Science Editors:

陳遠輝.; Chan Y. On exact algorithms for small-sample bootstrap iterations and their applications. [Masters Thesis]. University of Hong Kong; 2000. Available from: Chan, Y. [陳遠輝]. (2000). On exact algorithms for small-sample bootstrap iterations and their applications. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122229 ; http://dx.doi.org/10.5353/th_b3122229 ; http://hdl.handle.net/10722/33634


University of Hong Kong

30. Soleymani, Mehdi. Resampling algorithms for improved classification and estimation.

Degree: PhD, 2011, University of Hong Kong

published_or_final_version

Statistics and Actuarial Science

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Lee, SMS.

Subjects/Keywords: Estimation theory.; Nonparametric statistics.; Bootstrap (Statistics)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Soleymani, M. (2011). Resampling algorithms for improved classification and estimation. (Doctoral Dissertation). University of Hong Kong. Retrieved from Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227

Chicago Manual of Style (16th Edition):

Soleymani, Mehdi. “Resampling algorithms for improved classification and estimation.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed February 21, 2020. Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227.

MLA Handbook (7th Edition):

Soleymani, Mehdi. “Resampling algorithms for improved classification and estimation.” 2011. Web. 21 Feb 2020.

Vancouver:

Soleymani M. Resampling algorithms for improved classification and estimation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2020 Feb 21]. Available from: Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227.

Council of Science Editors:

Soleymani M. Resampling algorithms for improved classification and estimation. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227

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