14 titles from eBooks.com

Cambridge University Press (2005)

US$195.99

Covers an area at intersection of probability theory and statistical mechanics.

Covers an area at intersection of probability theory and statistical mechanics.

Cambridge University Press (1999)

US$41.50

This treatise by an acknowledged expert includes several topics not found in any previous book.

This treatise by an acknowledged expert includes several topics not found in any previous book.

CRC Press (2011)

US$57.95

Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field. The author explains as much...

Helping students develop a good understanding of asymptotic theory, Introduction to Statistical...

US$43.68

This book provides a comprehensive description of a new method of proving the central limit theorem, through the use of apparently unrelated results from information theory. It gives a basic introduction to the concepts of entropy and Fisher information, and collects together standard results concerning their behaviour. It brings together results...

This book provides a comprehensive description of a new method of proving the central limit theorem,...

Wiley (2009)

US$135.90

In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication...

In a probabilistic model, a rare event is an event with a very small probability of occurrence. The...

Wiley (2011)

US$200.70

Applies the well-developed tools of the theory of weak convergence of probability measures to large deviation analysis--a consistent new approach The theory of large deviations, one of the most dynamic topics in probability today, studies rare events in stochastic systems. The nonlinear nature of the theory contributes both to its richness and...

Applies the well-developed tools of the theory of weak convergence of probability measures to large...

CRC Press (2001)

US$57.95

In the view of many probabilists, author Anatolii Puhalskii's research results stand among the most significant achievements in the modern theory of large deviations. In fact, his work marked a turning point in the depth of our understanding of the connections between the large deviation principle (LDP) and well-known methods for establishing weak...

In the view of many probabilists, author Anatolii Puhalskii's research results stand among the most...

CRC Press (2013)

US$57.95

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis;...

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools ...

Springer Berlin Heidelberg (2007)

US$69.99

From the reviews: "... Besides the fact that the author's treatment of large deviations is a nice contribution to the literature on the subject, his book has the virue that it provides a beautifully unified and mathematically appealing account of certain aspects of statistical mechanics. ... Furthermore, he does not make the mistake of assuming...

From the reviews: "... Besides the fact that the author's treatment of large deviations is a nice...

Springer Berlin Heidelberg (2008)

US$89.99

This volume covers recent developments in self-normalized processes, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales.

This volume covers recent developments in self-normalized processes, including self-normalized large...