Description: Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures.Codifies foundational information in many core areas of statistics into a comprehensive and definitive resourceServes as an excellent text for select master’s and PhD programs, as well as a professional referenceIntegrates numerous examples to illustrate advanced conceptsIncludes many probability inequalities useful for investigating convergence of statistical procedures
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All returns accepted: ReturnsNotAccepted
Subject Area: Mathematics
Publication Name: Theory and Methods of Statistics
Publisher: Elsevier Academic Press
Item Length: 9.2 in
Subject: Probability & Statistics / General
Publication Year: 2016
Type: Textbook
Format: Trade Paperback
Language: English
Educational Level: University
Author: Prabir Burman, P. K. Bhattacharya
Personalized: No
Level: Advanced
Item Width: 7.5 in
Number of Pages: 514 Pages