Mathematical Statistics
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, complete Solutions Manual available on request
- Prerequisites from measure theory and linear algebra are presented.
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Description
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, complete Solutions Manual available on request
- Prerequisites from measure theory and linear algebra are presented.
