Mathematical Statistics
eBook - PDF

Mathematical Statistics

  1. 606 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Mathematical Statistics

Book details
Table of contents
Citations

About This Book

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance. In addition, non-parametric statistics and vectorial statistics are considered, as well as applications of stochastic analysis in modern statistics, e.g., Kolmogorov-Smirnov testing, smoothing techniques, robustness and density estimation.

  • For students with some elementary mathematical background.
  • With many exercises.
  • Prerequisites from measure theory and linear algebra are presented.

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Yes, you can access Mathematical Statistics by Wiebe R. Pestman 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

Publisher
De Gruyter
Year
2009
ISBN
9783110208535
Edition
2
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Frontmatter
  2. Contents
  3. Chapter I. Probability theory
  4. Chapter II. Statistics and their probability distributions, estimation theory
  5. Chapter III. Hypothesis tests
  6. Chapter IV. Simple regression analysis
  7. Chapter V. Normal analysis of variance
  8. Chapter VI. Non-parametric methods
  9. Chapter VII. Stochastic analysis and its applications in statistics
  10. Chapter VIII. Vectorial statistics
  11. Appendix A. Lebesgue’s convergence theorems
  12. Appendix B. Product measures
  13. Appendix C. Conditional probabilities
  14. Appendix D. The characteristic function of the Cauchy distribution
  15. Appendix E. Metric spaces, equicontinuity
  16. Appendix F. The Fourier transform and the existence of stoutly tailed distributions
  17. Backmatter