Nabendu Pal
University of Louisiana at Lafayette
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Archive | 2005
Nabendu Pal; Chun Jin; Wooi K. Lim
Acronyms Notations List of Figures List of Tables GENERAL STATISTICAL THEORY Basic Concepts The System of Real Numbers Some Useful Algebraic Results Set Theory Introduction to Probability Theory Random Variables Joint Probability Distributions Moment Generating Function Order Statistics Characteristic Function Some Common Probability Distributions Discrete Distributions Continuous Distributions Some Limit Theorems Concepts of Statistical Inference Introduction Sufficiency and Completeness Methods of Estimation Methods of Evaluating Estimators Elements of Hypothesis Testing Set (or Interval) Estimation Elements of Decision Theory Introduction Optimality Criteria Loss Functions Admissible, Minimax and Bayes Rules Computational Aspects Preliminaries Numerical Integration Monte-Carlo Simulation Bootstrap Method of Resampling Testing and Interval Estimation Based on Computations EXPONENTIAL AND OTHER POSITIVELY SKEWED DISTRIBUTIONS WITH APPLICATIONS Exponential Distribution Preliminaries Characterization of Exponential Distribution Estimation of Parameter(s) Goodness of Fit Tests for Exponential Distributions Gamma Distribution Preliminaries Characterization of Gamma Distribution Estimation of Parameters Goodness of fit Tests for Gamma Distribution Weibull Distribution Preliminaries Characterization of Weibull Distribution Estimation of Parameters Goodness of Fit Tests for Weibull Distribution Extreme Value Distributions Preliminaries Characterizations of Extreme Value Distributions Estimation of Parameters Goodness of Fit Tests for Extreme Value Distributions System Reliability Preliminaries Single Component Systems Reliability of a Series System with Componentwise Data Reliability of a Parallel System with Componentwise Data Bibliography Selected Statistical Tables Index
Statistical Papers | 1993
Nabendu Pal
AbstractBased on a pxp Wishart matrix S ∼ Wp(Ω|n) and an independent vector
Communications in Statistics - Simulation and Computation | 2008
Ching-Hui Chang; Nabendu Pal
Journal of Multivariate Analysis | 1992
Ying (Ingrid) Yueh Guo; Nabendu Pal
\underset{\raise0.3em\hbox{
Journal of the Acoustical Society of America | 2012
Azmy S. Ackleh; George E. Ioup; Juliette W. Ioup; Baoling Ma; Joal J. Newcomb; Nabendu Pal; Natalia A. Sidorovskaia; Christopher O. Tiemann
\smash{\scriptscriptstyle\thicksim}
Southeastern Naturalist | 2007
Lanminh Pham; Seth P. Boudreaux; Sam Karhbet; Becky Price; Azmy S. Ackleh; Jacoby Carter; Nabendu Pal
}}{X} \sim N_p (\underset{\raise0.3em\hbox{
The American Statistician | 2008
Ching-Hui Chang; Jyh-Jiuan Lin; Nabendu Pal; Miao-Chen Chiang
\smash{\scriptscriptstyle\thicksim}
Statistical Papers | 1998
Nabendu Pal; Chiahua Ling; Jyh-Jiuan Lin
}}{\mu } ,\Sigma )
Communications in Statistics-theory and Methods | 1988
Nabendu Pal
Statistics and Risk Modeling | 1992
Nabendu Pal; Debashis Kushary
, various point estimation methods are discussed in a decision-theoretic framework to estimate the dispersion matrix Ω and the precision matrix ∑−1. In this article we try to review the rich and vast literature on the above mentioned problems which has been developed in the last three decades.