A primer on statistical distributions / N. Balakrishnan, V. B. Nevzorov

Por: Balakrishnan, NColaborador(es): Nevzorov, Valery BTipo de material: TextoTextoDetalles de publicación: New Jersey : John Wiley, 2003 Descripción: XVI, 305 p. ; 24 cmISBN: 0-471-42798-5Tema(s): Distribución (Teoría de probabilidades)Resumen: Distributions and their properties and interrelationships assume a very important role in most upper-level undergraduate as well as graduate courses in the statistics program. Many introductory statistics textbooks discuss a few basic statistical distributions such as binomial, Poisson, exponential and normal. Going beyond the basics, this immensely useful text provides knowledge of other distributions such as geometric, negative binomial, Pareto, beta, gamma, chi-square, extreme value, multinomial and multivariate norma.. This book is tailor-made for a one-term course specifically on statistical distributions. Includes a first chapter on basic notations and definitions that are essential to working with distributions. Thoroughly covers preliminary concepts and definitions, discrete distributions, and multivariate distributions. Exercises incorporated throughout the text. Appendix offers biographical sketches of some of the leading contributors to statistical distribution theory
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Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
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Bibliografía: p. 289-293

Distributions and their properties and interrelationships assume a very important role in most upper-level undergraduate as well as graduate courses in the statistics program. Many introductory statistics textbooks discuss a few basic statistical distributions such as binomial, Poisson, exponential and normal. Going beyond the basics, this immensely useful text provides knowledge of other distributions such as geometric, negative binomial, Pareto, beta, gamma, chi-square, extreme value, multinomial and multivariate norma.. This book is tailor-made for a one-term course specifically on statistical distributions. Includes a first chapter on basic notations and definitions that are essential to working with distributions. Thoroughly covers preliminary concepts and definitions, discrete distributions, and multivariate distributions. Exercises incorporated throughout the text. Appendix offers biographical sketches of some of the leading contributors to statistical distribution theory

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