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Theory and methods of statistics
Author
Title
Theory and methods of statistics / P.K. Bhattacharya, Prabir Burman.
ISBN
9780128041239
0128041234
9780128024409
0128024402
Publication
London, UK : Academic Press is an imprint of Elsevier, 2016.
Physical Description
1 online resource
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version:
Format
Books / Online
Language
English
Added to Catalog
February 27, 2024
Bibliography
Includes bibliographical references and index.
Contents
1. Probability theory
2. Some common probability distributions
3. Infinite sequences of random variables and their convergence properties
4. Basic concepts of statistical inference
5. Point estimation in parametric models
6. Hypothesis testing
7. Methods based on likelihood and their asymptotic properties
8. Distribution-free tests for hypothesis testing in nonparametric families
9. Curve estimation
10. Statistical functionals and their use in robust estimation
11. Linear models
12. Multivariate analysis
13. Time series.
Genre/Form
dissertations.
Academic theses
Academic theses.
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