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

Produktinformation

Utgivningsdatum:2020-08-30
Språk:Engelska
Filformat:PDF
Kopieringsskydd:LCP
ISBN:9781000228724
Förlag:Taylor & Francis Ltd
Serie:Statistics: A Series of Textbooks and Monographs

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

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.

Recensioner i media

"...the book contains unique features throughout. Examples are the moment problem, which is clarified through a nice example, the role of the probability generating functions, and the central limit theorem for the sample variance. Techniques and concepts are typically illustrated through a series of examples. Within a box is routinely summarized what it is that has been accomplished or where to go from that point. At the end of each chapter a long list of exercises is arranged according the sections. "---Zentralblatt fur Mathematik, 2000"…a marvelous book for students."-Statistical Papers"…a handy reference as well as a good textbook."-International Statistical Institute, Short Book Reviews

Innehållsförteckning

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.