Aims and Scope
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.
- ix, 597 pages
- Num. figs. 1 frontispiece
- Type of Publication:
- Statistics; Probability Theory; Statistical Testing; Regression Analysis; Variance Analysis