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Item Details
Title: ELEMENTS OF DISTRIBUTION THEORY
By: Thomas A. Severini, R. Gill, Brian D. Ripley
Format: Hardback

List price: £93.00
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ISBN 10: 052184472X
ISBN 13: 9780521844727
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Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 8 August, 2005
Series: Cambridge Series in Statistical and Probabilistic Mathematics No. 17
Pages: 528
Description: This introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics and researchers using statistical methods.
Synopsis: 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.
Illustrations: 10 tables 354 exercises
Publication: UK
Imprint: Cambridge University Press
Returns: Returnable
Some other items by this author:
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BOOTSTRAP METHODS AND THEIR APPLICATION (PB)
DATA ANALYSIS AND GRAPHICS USING R (HB)
ELEMENTS OF DISTRIBUTION THEORY
ELEMENTS OF DISTRIBUTION THEORY (PB)
ESSENTIALS OF STATISTICAL INFERENCE (HB)
INTRODUCTION TO STATISTICAL METHODS FOR FINANCIAL MODELS
INTRODUCTION TO STATISTICAL METHODS FOR FINANCIAL MODELS
INTRODUCTION TO STATISTICAL METHODS FOR FINANCIAL MODELS
INTRODUCTION TO STATISTICAL METHODS FOR FINANCIAL MODELS (HB)
LIKELIHOOD METHODS IN STATISTICS (HB)
MARKOV CHAINS (PB)
MODERN ANALYTICAL GEOCHEMISTRY
MODERN ANALYTICAL GEOCHEMISTRY
MODERN ANALYTICAL GEOCHEMISTRY
MODERN APPLIED STATISTICS WITH S (HB)
MODERN APPLIED STATISTICS WITH S (PB)
NEW FEMININITIES (PB)
PATTERN RECOGNITION AND NEURAL NETWORKS
PATTERN RECOGNITION AND NEURAL NETWORKS (HB)
PATTERN RECOGNITION AND NEURAL NETWORKS (PB)
RANDOM GRAPH DYNAMICS (HB)
S PROGRAMMING (HB)
S PROGRAMMING (PB)
SADDLEPOINT APPROXIMATIONS WITH APPLICATIONS (HB)
SEMIPARAMETRIC EFFICIENCY BOUNDS FOR MICROECONOMETRIC MODELS (PB)
SPATIAL STATISTICS
SPATIAL STATISTICS (PB)
STATISTICAL ANALYSIS OF STOCHASTIC PROCESSES IN TIME (HB)
STATISTICAL INFERENCE FOR SPATIAL PROCESSES (PB)
STATISTICAL MECHANICS OF DISORDERED SYSTEMS (HB)
STATISTICAL MODELS (HB)
STOCHASTIC SIMULATION
STOCHASTIC SIMULATION (PB)
TENERIFE CANARY ISLANDS (PB)
THE COORDINATE-FREE APPROACH TO LINEAR MODELS (HB)

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