Statistical theory : a concise introduction
Author(s)
Bibliographic Information
Statistical theory : a concise introduction
（Texts in statistical science）（A Chapman & Hall book）
CRC Press, 2023
2nd ed
- : hbk
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Note
Includes bibliographical references (p. 217) and index
Description and Table of Contents
Description
Features:
Second edition has been updated with a new chapter on Nonparametric Estimation; a significant update to the chapter on Statistical Decision Theory; and other updates throughout
No requirement for heavy calculus, and simple questions throughout the text help students check their understanding of the material
Each chapter also includes a set of exercises that range in level of difficulty
Self-contained, and can be used by the students to understand the theory
Chapters and sections marked by asterisks contain more advanced topics and may be omitted
Special chapters on linear models and nonparametric statistics show how the main theoretical concepts can be applied to well-known and frequently used statistical tools
Table of Contents
1. Introduction. 2. Point Estimation. 3. Confidence Intervals, Bounds, and Regions. 4. Hypothesis testing. 5. Asymptotic Analysis. 6. Bayesian Inference. 7. Elements of Statistical Decision Theory. 8. Linear Models. 9. Nonparametric Estimation.
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