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Chapman & Hall/CRC Probability Series


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Introduction to Stochastic Processes

Introduction to Stochastic Processes

2nd Edition

By Gregory F. Lawler
May 16, 2006

Emphasizing fundamental mathematical ideas rather than proofs, Introduction to Stochastic Processes, Second Edition provides quick access to important foundations of probability theory applicable to problems in many fields. Assuming that you have a reasonable level of computer literacy, the ability...

Probability With a View Towards Statistics, Two Volume Set

Probability With a View Towards Statistics, Two Volume Set

1st Edition

By J. Hoffman-Jorgensen
July 01, 1994

Volume I of this two-volume text and reference work begins by providing a foundation in measure and integration theory. It then offers a systematic introduction to probability theory, and in particular, those parts that are used in statistics. This volume discusses the law of large numbers for ...

Probability With a View Towards Statistics, Volume I

Probability With a View Towards Statistics, Volume I

1st Edition

By J. Hoffman-Jorgensen
July 01, 1994

Volume I of this two-volume text and reference work begins by providing a foundation in measure and integration theory. It then offers a systematic introduction to probability theory, and in particular, those parts that are used in statistics. This volume discusses the law of large numbers for ...

Probability With a View Towards Statistics, Volume II

Probability With a View Towards Statistics, Volume II

1st Edition

By J. Hoffman-Jorgensen
May 15, 1994

Volume II of this two-volume text and reference work concentrates on the applications of probability theory to statistics, e.g., the art of calculating densities of complicated transformations of random vectors, exponential models, consistency of maximum estimators, and asymptotic normality of ...

Probability For Analysts

Probability For Analysts

1st Edition

By Karl Stromberg
April 01, 1994

This book will enable researchers and students of analysis to more easily understand research papers in which probabilistic methods are used to prove theorems of analysis, many of which have no other known proofs. The book assumes a course in measure and integration theory but requires little or no...

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