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Cambridge Series in Statistical and Probabilistic Mathematic #17: Elements of Distribution Theory

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Synopses & Reviews

Publisher Comments:

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.

Product Details

ISBN:
9781107630734
Author:
Severini, Thomas A.
Publisher:
Cambridge University Press
Subject:
Mathematics | Probability and Statistics
Publication Date:
20111031
Binding:
TRADE PAPER
Language:
English

Related Subjects

Languages » ESL » General
Science and Mathematics » Mathematics » Calculus » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Cambridge Series in Statistical and Probabilistic Mathematic #17: Elements of Distribution Theory New Trade Paper
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Product details pages Cambridge University Press - English 9781107630734 Reviews:
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