
- 544 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Theory and Methods of Statistics
About this book
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 resource
- Serves as an excellent text for select master's and PhD programs, as well as a professional reference
- Integrates numerous examples to illustrate advanced concepts
- Includes many probability inequalities useful for investigating convergence of statistical procedures
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Theory and Methods of Statistics by P.K. Bhattacharya,Prabir Burman in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- 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
- Appendix A: Results From Analysis and Probability
- Appendix B: Basic Results From Matrix Algebra
- Bibliography
- Index