Wiebe R. Pestman

Mathematical Statistics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Walter de Gruyter
• Seitenzahl: 606
• Erscheinungstermin: 26. März 2009
• Englisch
• ISBN-13: 9783110208535
• Artikelnr.: 48601049

Autorenporträt

Wiebe R. Pestman, University of Utrecht, The Netherlands.

Inhaltsangabe

Frontmatter -- Preface -- Table of contents -- Chapter 1. Probability Theory -- Chapter 2. Statistics and their distributions, estimation theory -- Chapter 3. Hypothesis testing -- Chapter 4. Simple regression analysis -- Chapter 5. Normal analysis of variance -- Chapter 6. Non-parametric methods -- Chapter 7. Stochastic analysis and its applications in statistics -- Chapter 8. Vectorial statistics -- Statistical tables