Continuous bivariate distributions / N. Balakrishnan, Chin-Diew Lai.
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TextLanguage: English Publication details: Dordrecht ; New York : Springer, c2009. Edition: 2nd edDescription: xxxvi, 684 p. ; 25 cmISBN: 9780387096131; 0387096132; 9780387096148 (ebk.); 0387096140 (ebk.)Subject(s): Distribution (Probability theory)DDC classification: 519.24 LOC classification: QA273.6 | .B345 2009Online resources: Publisher description | WorldCat details | Table of contents only | Ebook Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 519.23 JOS 2010 Stochastic processes : | 519.233 BAS 2008 Semi-Markov chains and hidden semi-Markov models toward applications : | 519.233 ISM 2009 Markov models with covariate dependence for repeated measures / | 519.24 BAC 2009 Continuous bivariate distributions / | 519.24 EXP 1995 The exponential distribution : | 519.24 PAH 2006 Handbook of exponential and related distributions for engineers and scientists / | 519.24 RIW 2009 The Weibull distribution : |
Includes bibliographical references and index.
TOC Univariate distributions. - Bivariate copulas. - Distributions expressed as copulas. - Concepts of stochastic dependence. - Measures of dependence. - Constructions of bivariate distributions.- Bivariate distributions constructed by conditional approach. - Variables in common method. - Bivariate gamma and related distributions. - Simple forms of the bivariate density function. - Bivariate exponentional and related distributions. - Bivariate normal distribution. - Bivariate extreme value distributions. - Elliptically symmetric bivariate distributions and other symmetric distributions. - Simulation of bivariate observations.
Along with a review of general developments relating to bivariate distributions, this volume also covers copulas, a subject which has grown immensely in recent years. In addition, it examines conditionally specified distributions and skewed distributions.
AS
Tahur Ahmed
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