Problems and Detailed Solutions
"Mathematical Statistics" covers essential concepts and techniques in the field of statistics, focusing on theoretical foundations and practical applications. It is suitable for students and professionals seeking to deepen their understanding of statistical methods and their implications in various fields.
An Introduction
"Mathematical Statistics" covers essential concepts and techniques in the field of statistics, focusing on theoretical foundations and practical applications. It is suitable for students and professionals seeking to deepen their understanding of statistical methods and their implications in various fields.
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. Updated, completeSolutions Manual available on request Prerequisites from measure theory and linear algebra are presented.