Books in the Probability: Pure and Applied series

Covering both theory and applications, this collection surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters.

This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently inherent in the classical analysis of a variety of stochastic models by methods of complex analysis.

Covers the concepts and main results of probability theory, from its fundamental principles to advanced applications. This book provides examples of practical problems such as the safety of a piece of engineering equipment or the inevitability of wrong conclusions in seemingly accurate medical tests for AIDS and cancer.