Nitis Mukhopadhyay

Probability and Statistical Inference (eBook, PDF)

• Format: PDF

Produktbeschreibung

This gracefully organized text presents 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 with the basic ideas and techniques of probability theory and progressing to more rigorous topics, this treatment covers all of the topics typically addressed in a two-semester course in probability and statistical inference for graduate and upper-level undergraduate courses, including hypothesis testing, Bayesian analysis, and sample-size determination. The author reinforces important ideas and special techniques with drills and boxed summaries.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 665
• Erscheinungstermin: 30. August 2020
• Englisch
• ISBN-13: 9781000228724
• Artikelnr.: 60086118

Autorenporträt

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.