Fundamentals of Mathematical Statistics
eBook - ePub

Fundamentals of Mathematical Statistics

  1. 244 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Fundamentals of Mathematical Statistics

About this book

Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics—statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, significance testing, and models for tables of counts. It assumes a good background in mathematical analysis, linear algebra, and probability but includes an appendix with basic results from these areas. Throughout the text, there are numerous examples and graduated exercises that illustrate the topics covered, rendering the book suitable for teaching or self-study.

Features

  • A concise yet rigorous introduction to a one-semester course in Mathematical Statistics
  • Covers all the key topics
  • Assumes a solid background in Mathematics and Probability
  • Numerous examples illustrate the topics
  • Many exercises enhance understanding of the material and enable course use

This textbook will be a perfect fit for an advanced course in Mathematical Statistics or Statistical Theory. The concise and lucid approach means it could also serve as a good alternative, or supplement, to existing texts.

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Yes, you can access Fundamentals of Mathematical Statistics by Steffen Lauritzen 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

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. List of Figures
  9. List of Tables
  10. 1 Statistical Models
  11. 2 Linear Normal Models
  12. 3 Exponential Families
  13. 4 Estimation
  14. 5 Asymptotic Theory
  15. 6 Set Estimation
  16. 7 Significance Testing
  17. 8 Models for Tables of Counts
  18. A Auxiliary Results
  19. B Technical Proofs
  20. Bibliography
  21. Index