Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi

Nitis Mukhopadhyay is a Professor in the Department of Statistics at the University of Connecticut, Storrs. Dr. Mukhopadhyay is the coauthor of Multistage Selection and Ranking Procedures (Marcel Dekker, Inc.), a coauthor of Sequential Estimation, and the author or coauthor of over 130 book chapters and peer-reviewed articles. He is a member of the Institute of Mathematical Statistics, the American Statistical Association, the Statistical Society of Canada, the International Indian Statistical Association, and a Life Member of the Calcutta Statistical Association. He received the B.Sc. degree (1970) in mathematics from the University of Calcutta, India, and the M.Stat. (1972) and Ph.D. (1976) degrees in statistics from the Indian Statistical Institute, Calcutta.

Priced very competitively compared with other textbooks at this level!
This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.

Beginning wi

Notions of probability; expectations of functions of random variables; multivariate random variables; transformations and sampling distributions; notions of stochastic convergence; sufficiency, completeness and ancillarity; point estimation; tests of hypotheses; confidence interval estimation; Bayesian methods; likelihood ratio and other tests; large-sample inference; sample size determination - two-stage procedures. Appendices: abbreviations and notation; celebration of statistics - selected biographical notes; selected statistical tables.