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You searched for `+publisher:"Michigan State University" +contributor:("Dass, Sarat")`

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Michigan State University

1. Qi, Xin (Of Michigan State University). Functional data analysis with applications.

Degree: 2014, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:2798

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Thesis Ph. D. *Michigan* *State* *University*. Statistics 2014.

As a branch of statistics, functional data analysis analyzes data based on the informationabout curves, functions, surfaces… (more)

Subjects/Keywords: Quantitative research; Multivariate analysis; Statistical functionals; Curves; Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Qi, X. (. M. S. U. (2014). Functional data analysis with applications. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:2798

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

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

Qi, Xin (Of Michigan State University). “Functional data analysis with applications.” 2014. Thesis, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:2798.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Qi, Xin (Of Michigan State University). “Functional data analysis with applications.” 2014. Web. 09 May 2021.

Vancouver:

Qi X(MSU. Functional data analysis with applications. [Internet] [Thesis]. Michigan State University; 2014. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:2798.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qi X(MSU. Functional data analysis with applications. [Thesis]. Michigan State University; 2014. Available from: http://etd.lib.msu.edu/islandora/object/etd:2798

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

2. Huang, Wenmei. Semi-parametric estimation of bivariate dependence under mixed marginals.

Degree: 2011, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:267

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Thesis Ph. D. *Michigan* *State* *University*. Department of Statistics and Probability 2011.

Copulas are a flexible way of modeling dependence in a set of variables… (more)

Subjects/Keywords: Copulas (Mathematical statistics); Statistics – Research; Probabilities – Mathematical models; Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Huang, W. (2011). Semi-parametric estimation of bivariate dependence under mixed marginals. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:267

Not specified: Masters Thesis or Doctoral Dissertation

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

Huang, Wenmei. “Semi-parametric estimation of bivariate dependence under mixed marginals.” 2011. Thesis, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:267.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Huang, Wenmei. “Semi-parametric estimation of bivariate dependence under mixed marginals.” 2011. Web. 09 May 2021.

Vancouver:

Huang W. Semi-parametric estimation of bivariate dependence under mixed marginals. [Internet] [Thesis]. Michigan State University; 2011. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:267.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang W. Semi-parametric estimation of bivariate dependence under mixed marginals. [Thesis]. Michigan State University; 2011. Available from: http://etd.lib.msu.edu/islandora/object/etd:267

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

3. Chang, Hsiu-Ching. Latent class profile analysis : inference, estimation and its applications.

Degree: 2011, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:1006

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Thesis Ph. D. *Michigan* *State* *University*. Statistics 2011.

Recently, a great deal of attention has been paid to the stage-sequential process for the longitudinal data… (more)

Subjects/Keywords: Expectation-maximization algorithms; Dirichlet principle; Recursive functions – Data processing; Statistics; Latent stage-sequential process; Multiple local modes; Reversible jump MCMC; Deterministic annealing

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Chang, H. (2011). Latent class profile analysis : inference, estimation and its applications. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:1006

Not specified: Masters Thesis or Doctoral Dissertation

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

Chang, Hsiu-Ching. “Latent class profile analysis : inference, estimation and its applications.” 2011. Thesis, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:1006.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chang, Hsiu-Ching. “Latent class profile analysis : inference, estimation and its applications.” 2011. Web. 09 May 2021.

Vancouver:

Chang H. Latent class profile analysis : inference, estimation and its applications. [Internet] [Thesis]. Michigan State University; 2011. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:1006.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang H. Latent class profile analysis : inference, estimation and its applications. [Thesis]. Michigan State University; 2011. Available from: http://etd.lib.msu.edu/islandora/object/etd:1006

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

4. Ren, Hao. Some new models for small area estimation.

Degree: 2011, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:234

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Thesis Ph. D. *Michigan* *State* *University*. Statistics 2011.

This dissertation includes some new models for small area estimation. There are four parts in total. The… (more)

Subjects/Keywords: Estimation theory; Sampling (Statistics); Statistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ren, H. (2011). Some new models for small area estimation. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:234

Not specified: Masters Thesis or Doctoral Dissertation

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

Ren, Hao. “Some new models for small area estimation.” 2011. Thesis, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:234.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ren, Hao. “Some new models for small area estimation.” 2011. Web. 09 May 2021.

Vancouver:

Ren H. Some new models for small area estimation. [Internet] [Thesis]. Michigan State University; 2011. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:234.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ren H. Some new models for small area estimation. [Thesis]. Michigan State University; 2011. Available from: http://etd.lib.msu.edu/islandora/object/etd:234

Not specified: Masters Thesis or Doctoral Dissertation