<p>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.</p><ul><li>For students with some elementary mathematical background. </li><li>With many exercises. </li><li>Updated, completeSolutions Manual available on request </li><li>Prerequisites from measure theory and linear algebra are presented.<br></li></ul>