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You searched for subject:(Sample covariance matrices). Showing records 1 – 8 of 8 total matches.

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1. Banna, Marwa. Distribution spectrale limite pour des matrices à entrées corrélées et inégalité de type Bernstein : Limiting spectral distribution for matrices with correlated entries and Bernstein-type inequality.

Degree: Docteur es, Mathématiques, 2015, Université Paris-Est

Cette thèse porte essentiellement sur l'étude de la distribution spectrale limite de grandes matrices aléatoires dont les entrées sont corrélées et traite également d'inégalités de… (more)

Subjects/Keywords: Matrices Aléatoires; Matrices de covariance empirique; Distribution spectrale limite; Processus absolument régulier; Inégalités de déviation; Random Matrices; Sample covariance matrices; Limiting spectral distribution; Absolutely regular processes; Deviiation inequalities

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

APA (6th Edition):

Banna, M. (2015). Distribution spectrale limite pour des matrices à entrées corrélées et inégalité de type Bernstein : Limiting spectral distribution for matrices with correlated entries and Bernstein-type inequality. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2015PESC1107

Chicago Manual of Style (16th Edition):

Banna, Marwa. “Distribution spectrale limite pour des matrices à entrées corrélées et inégalité de type Bernstein : Limiting spectral distribution for matrices with correlated entries and Bernstein-type inequality.” 2015. Doctoral Dissertation, Université Paris-Est. Accessed July 11, 2020. http://www.theses.fr/2015PESC1107.

MLA Handbook (7th Edition):

Banna, Marwa. “Distribution spectrale limite pour des matrices à entrées corrélées et inégalité de type Bernstein : Limiting spectral distribution for matrices with correlated entries and Bernstein-type inequality.” 2015. Web. 11 Jul 2020.

Vancouver:

Banna M. Distribution spectrale limite pour des matrices à entrées corrélées et inégalité de type Bernstein : Limiting spectral distribution for matrices with correlated entries and Bernstein-type inequality. [Internet] [Doctoral dissertation]. Université Paris-Est; 2015. [cited 2020 Jul 11]. Available from: http://www.theses.fr/2015PESC1107.

Council of Science Editors:

Banna M. Distribution spectrale limite pour des matrices à entrées corrélées et inégalité de type Bernstein : Limiting spectral distribution for matrices with correlated entries and Bernstein-type inequality. [Doctoral Dissertation]. Université Paris-Est; 2015. Available from: http://www.theses.fr/2015PESC1107


University of Florida

2. Gaskins, Jeremy T. Bayesian Methods for Modeling Dependence Structures in Longitudinal Data.

Degree: PhD, Statistics, 2013, University of Florida

 In the modeling of longitudinal data from several groups, appropriate handling of the dependence structure is of central importance.  In this dissertation we consider two… (more)

Subjects/Keywords: Correlations; Covariance; Longitudinal data; Matrices; Parametric models; Sample size; Simulations; Statistical discrepancies; Statistical models; Statistics; bayesian  – correlation  – covariance  – longitudinal  – sparsity

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

APA (6th Edition):

Gaskins, J. T. (2013). Bayesian Methods for Modeling Dependence Structures in Longitudinal Data. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045709

Chicago Manual of Style (16th Edition):

Gaskins, Jeremy T. “Bayesian Methods for Modeling Dependence Structures in Longitudinal Data.” 2013. Doctoral Dissertation, University of Florida. Accessed July 11, 2020. https://ufdc.ufl.edu/UFE0045709.

MLA Handbook (7th Edition):

Gaskins, Jeremy T. “Bayesian Methods for Modeling Dependence Structures in Longitudinal Data.” 2013. Web. 11 Jul 2020.

Vancouver:

Gaskins JT. Bayesian Methods for Modeling Dependence Structures in Longitudinal Data. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Jul 11]. Available from: https://ufdc.ufl.edu/UFE0045709.

Council of Science Editors:

Gaskins JT. Bayesian Methods for Modeling Dependence Structures in Longitudinal Data. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045709

3. ZHANG LIXIN. Spectral analysis of large dimentional random matrices.

Degree: 2007, National University of Singapore

Subjects/Keywords: large dimensional random matrices; empirical spectral distribution; Stieltjes transform; sample covariance matrices; Wigner matrices; sparse matrices

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APA (6th Edition):

LIXIN, Z. (2007). Spectral analysis of large dimentional random matrices. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/15720

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):

LIXIN, ZHANG. “Spectral analysis of large dimentional random matrices.” 2007. Thesis, National University of Singapore. Accessed July 11, 2020. http://scholarbank.nus.edu.sg/handle/10635/15720.

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

MLA Handbook (7th Edition):

LIXIN, ZHANG. “Spectral analysis of large dimentional random matrices.” 2007. Web. 11 Jul 2020.

Vancouver:

LIXIN Z. Spectral analysis of large dimentional random matrices. [Internet] [Thesis]. National University of Singapore; 2007. [cited 2020 Jul 11]. Available from: http://scholarbank.nus.edu.sg/handle/10635/15720.

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

Council of Science Editors:

LIXIN Z. Spectral analysis of large dimentional random matrices. [Thesis]. National University of Singapore; 2007. Available from: http://scholarbank.nus.edu.sg/handle/10635/15720

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

4. WANG XIAOYING. Central Limit Theorem of Linear Spectral Statistics for Large Dimensional Random Matrices.

Degree: 2009, National University of Singapore

Subjects/Keywords: Central limit theorem; linear spectral statistics; large dimensional random matrices; Wigner matrix; sample covariance matrix

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APA (6th Edition):

XIAOYING, W. (2009). Central Limit Theorem of Linear Spectral Statistics for Large Dimensional Random Matrices. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/19248

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):

XIAOYING, WANG. “Central Limit Theorem of Linear Spectral Statistics for Large Dimensional Random Matrices.” 2009. Thesis, National University of Singapore. Accessed July 11, 2020. http://scholarbank.nus.edu.sg/handle/10635/19248.

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

MLA Handbook (7th Edition):

XIAOYING, WANG. “Central Limit Theorem of Linear Spectral Statistics for Large Dimensional Random Matrices.” 2009. Web. 11 Jul 2020.

Vancouver:

XIAOYING W. Central Limit Theorem of Linear Spectral Statistics for Large Dimensional Random Matrices. [Internet] [Thesis]. National University of Singapore; 2009. [cited 2020 Jul 11]. Available from: http://scholarbank.nus.edu.sg/handle/10635/19248.

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

Council of Science Editors:

XIAOYING W. Central Limit Theorem of Linear Spectral Statistics for Large Dimensional Random Matrices. [Thesis]. National University of Singapore; 2009. Available from: http://scholarbank.nus.edu.sg/handle/10635/19248

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


University of Florida

5. Tang, Kezhen Linda, 1953-. Robustness of four multivariate tests under variance-covariance heteroscedasticity.

Degree: University of Florida

Subjects/Keywords: Covariance; Critical values; Degrees of freedom; False positive errors; Mathematical robustness; Matrices; Population mean; Sample size; Statistical discrepancies; Statistics

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

APA (6th Edition):

Tang, Kezhen Linda, 1. (n.d.). Robustness of four multivariate tests under variance-covariance heteroscedasticity. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00101030

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tang, Kezhen Linda, 1953-. “Robustness of four multivariate tests under variance-covariance heteroscedasticity.” Thesis, University of Florida. Accessed July 11, 2020. https://ufdc.ufl.edu/UF00101030.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tang, Kezhen Linda, 1953-. “Robustness of four multivariate tests under variance-covariance heteroscedasticity.” Web. 11 Jul 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Tang, Kezhen Linda 1. Robustness of four multivariate tests under variance-covariance heteroscedasticity. [Internet] [Thesis]. University of Florida; [cited 2020 Jul 11]. Available from: https://ufdc.ufl.edu/UF00101030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Tang, Kezhen Linda 1. Robustness of four multivariate tests under variance-covariance heteroscedasticity. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UF00101030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

6. Bloemendal, Alexander. Finite Rank Perturbations of Random Matrices and their Continuum Limits.

Degree: 2011, University of Toronto

We study Gaussian sample covariance matrices with population covariance a bounded-rank perturbation of the identity, as well as Wigner matrices with bounded-rank additive perturbations. The… (more)

Subjects/Keywords: random matrices; spiked model; Tracy-Widom laws; BBP phase transition; stochastic Airy operator; Painlevé equations; sample covariance matrices; Wishart matrices; 0405

…1920s, Wishart considered Gaussian sample covariance matrices. Here one begins with a “data… …Gaussian sample covariance matrices. Analogous results for finite-rank additive perturbations of… …Chapter 2 One spike 2.1 Introduction The study of sample covariance matrices is the oldest… …theorems for sample covariance matrices were proved by Johansson (2000) in the complex… …XX . 1 Eigenvalues of the sample covariance matrix n XX no longer consistently estimate… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Bloemendal, A. (2011). Finite Rank Perturbations of Random Matrices and their Continuum Limits. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/31693

Chicago Manual of Style (16th Edition):

Bloemendal, Alexander. “Finite Rank Perturbations of Random Matrices and their Continuum Limits.” 2011. Doctoral Dissertation, University of Toronto. Accessed July 11, 2020. http://hdl.handle.net/1807/31693.

MLA Handbook (7th Edition):

Bloemendal, Alexander. “Finite Rank Perturbations of Random Matrices and their Continuum Limits.” 2011. Web. 11 Jul 2020.

Vancouver:

Bloemendal A. Finite Rank Perturbations of Random Matrices and their Continuum Limits. [Internet] [Doctoral dissertation]. University of Toronto; 2011. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/1807/31693.

Council of Science Editors:

Bloemendal A. Finite Rank Perturbations of Random Matrices and their Continuum Limits. [Doctoral Dissertation]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/31693


University of Florida

7. Shieh, Gwowen, 1960-. Empirical Bayes minimax estimators of matrix normal means in the one- and two-sample problems.

Degree: 1990, University of Florida

Subjects/Keywords: Bayes estimators; Covariance; Estimated cost to complete; Estimators; Estimators for the mean; Matrices; Minimax; Sample mean; Statistical estimation; Statistics; Statistics thesis Ph. D

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

APA (6th Edition):

Shieh, Gwowen, 1. (1990). Empirical Bayes minimax estimators of matrix normal means in the one- and two-sample problems. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00037543

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):

Shieh, Gwowen, 1960-. “Empirical Bayes minimax estimators of matrix normal means in the one- and two-sample problems.” 1990. Thesis, University of Florida. Accessed July 11, 2020. https://ufdc.ufl.edu/AA00037543.

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

MLA Handbook (7th Edition):

Shieh, Gwowen, 1960-. “Empirical Bayes minimax estimators of matrix normal means in the one- and two-sample problems.” 1990. Web. 11 Jul 2020.

Vancouver:

Shieh, Gwowen 1. Empirical Bayes minimax estimators of matrix normal means in the one- and two-sample problems. [Internet] [Thesis]. University of Florida; 1990. [cited 2020 Jul 11]. Available from: https://ufdc.ufl.edu/AA00037543.

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

Council of Science Editors:

Shieh, Gwowen 1. Empirical Bayes minimax estimators of matrix normal means in the one- and two-sample problems. [Thesis]. University of Florida; 1990. Available from: https://ufdc.ufl.edu/AA00037543

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


University of Florida

8. Yoo, Mira S., 1961-. Testing equality of dependent correlation coefficients.

Degree: 1994, University of Florida

Subjects/Keywords: Applied statistics; Correlation coefficients; Correlations; Covariance; Critical values; False positive errors; Matrices; Sample size; Simulations; Statistics; Educational tests and measurements; Foundations of Education thesis Ph.D

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APA (6th Edition):

Yoo, Mira S., 1. (1994). Testing equality of dependent correlation coefficients. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00033029

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):

Yoo, Mira S., 1961-. “Testing equality of dependent correlation coefficients.” 1994. Thesis, University of Florida. Accessed July 11, 2020. https://ufdc.ufl.edu/AA00033029.

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

MLA Handbook (7th Edition):

Yoo, Mira S., 1961-. “Testing equality of dependent correlation coefficients.” 1994. Web. 11 Jul 2020.

Vancouver:

Yoo, Mira S. 1. Testing equality of dependent correlation coefficients. [Internet] [Thesis]. University of Florida; 1994. [cited 2020 Jul 11]. Available from: https://ufdc.ufl.edu/AA00033029.

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

Council of Science Editors:

Yoo, Mira S. 1. Testing equality of dependent correlation coefficients. [Thesis]. University of Florida; 1994. Available from: https://ufdc.ufl.edu/AA00033029

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

.