Introduction to Measure-Theoretic Probability (BOK)

George Roussas

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An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines that measure theoretic probability. This book requires no prior knowledge of measure theory, discusses all its topics in great detail, and includes one chapter on the basics of ergodic theory and one chapter on two cases of statistical estimation. There is a considerable bend toward the way probability is actually used in statistical research, finance, and other academic and nonacademic applied pursuits. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas should be equipped with. * Provides in a concise, yet detailed way, the bulk of probabilistic tools essential to a student working toward an advanced degree in statistics, probability, and other related fields* Includes extensive exercises and practical examples to make complex ideas of advanced probability accessible to graduate students in statistics, probability, and related fields* All proofs presented in full detail and complete and detailed solutions to all exercises are available to the instructors on book companion site* Considerable bend toward the way probability is used in statistics in non-mathematical settings in academic, research and corporate/finance pursuits.

Produktfakta

Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 2014 Forfatter George Roussas
Forlag
ACADEMIC PRESS
ISBN 9780128000427
Antall sider 426 Dimensjoner 19,1cm x 23,5cm x 3cm
Vekt 1163 gram Leverandør Bertram Trading Ltd

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