Elements of Distribution Theory (Paperback, New)

This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered comprehensively.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Cambridge Series in Statistical and Probabilistic Mathematics
Release date:	October 2011
First published:	October 2011
Authors:	Thomas A. Severini
Dimensions:	244 x 165 x 28mm (L x W x T)
Format:	Paperback - Trade
Pages:	528
Edition:	New
ISBN-13:	978-1-107-63073-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-107-63073-8
Barcode:	9781107630734

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