This text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures and tables, and computer simulations to develop and illustrate concepts. It is designed for two-semester of three-quarter courses allowing flexibility in the selection of topics beyond the core material. The book reinforces important ideas and emphasizes special techniques with drills and boxed summaries.

A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application.
Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes.
Applied Sequential...

Review "Professor Mukhopadhyay has done an excellent job of collecting a broad statistical knowledge base on the various topics covered and presented them in a straightforward manner Not many books on statistical inference with such features are available currently." -- Sunil K. Dhar, New Jersey Institute of Technology " This book is designed for a one-semester course in Mathematical Statistics. In many universities, graduate students from Economics, Actuarial Sciences, Finance, and several other departments do no t have enough time to take a two-semester sequenceFor them, this book is ideal....