This introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics and researchers using statistical methods. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 528 pages, 10 tables 354 exercises. BIC Classification: KCH; PB; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 179 x 254 x 32. Weight in Grams: 972. . 2012. paperback. . . . .

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Bibliographic Details

Title: Elements of Distribution Theory: 17 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 17)
Publisher: Cambridge University Press
Publication Date: 2012
Language: English
ISBN 10: 1107630738
ISBN 13: 9781107630734
Binding: Soft cover
Condition: New

About this title

Synopsis

This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master's and PhD students in statistics, biostatistics, and econometrics. The text uses no measure theory, requiring only a background in calculus and linear algebra. Topics 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 and orthogonal polynomials. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book.

About the Author

Thomas A. Severini received his PhD in Statistics from the University of Chicago. He is now a Professor of Statistics at Northwestern University. He has also written Likelihood Methods in Statistics. He has published extensively in statistical journals such as Biometrika, the Journal of the American Statistical Association and the Journal of the Royal Statistical Society. He is a member of the Institute of Mathematical Statistics and the American Statistical Association.

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