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#### An Introduction To Stein's Method

World Scientific Publishing Company 2005; US$ 149.00A common theme in probability theory is the approximation of complicated probability distributions by simpler ones, the central limit theorem being a classical example. Stein's method is a tool which makes this possible in a wide variety of situations. Traditional approaches, for example using Fourier analysis, become awkward to carry through in situations... more...

#### Stein's Method And Applications

World Scientific Publishing Company 2005; US$ 163.00Stein's startling technique for deriving probability approximations first appeared about 30 years ago. Since then, much has been done to refine and develop the method, but it is still a highly active field of research, with many outstanding problems, both theoretical and in applications. This volume, the proceedings of a workshop held in honour of... more...

#### Advances on Models, Characterizations and Applications

CRC Press 2005; US$ 132.95Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is... more...

#### Probability and Statistical Models with Applications

CRC Press 2000; US$ 159.95This monograph of carefully collected articles reviews recent developments in theoretical and applied statistical science, highlights current noteworthy results and illustrates their applications; and points out possible new directions to pursue. With its enlightening account of statistical discoveries and its numerous figures and tables, Probability... more...

#### Handbook of Statistical Distributions with Applications

CRC Press 2006; US$ 109.95In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a... more...

#### Stochastic Orders

Springer New York 2007; US$ 199.00This reference text presents comprehensive coverage of the various notions of stochastic orderings, their closure properties, and their applications. It is an ideal reference for anyone interested in decision making under uncertainty. more...

#### Intermediate Probability

Wiley 2007; US$ 179.00Intermediate Probability is the natural extension of the author's Fundamental Probability. It details several highly important topics, from standard ones such as order statistics, multivariate normal, and convergence concepts, to more advanced ones which are usually not addressed at this mathematical level, or have never previously appeared in textbook... more...

#### Self-Normalized Processes

Springer Berlin Heidelberg 2008; US$ 99.00This 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. more...

#### Rare Event Simulation using Monte Carlo Methods

Wiley 2009; US$ 146.00In 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... more...

#### Weibull Models

Wiley 2004; US$ 189.00A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, and scattered across many different journals. Weibull Models is a comprehensive guide that integrates all the different facets of Weibull models in a single volume. This book will be of great help to practitioners in reliability and other disciplines... more...