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.
About the author
Wiebe R. Pestman, University of Utrecht, The Netherlands.
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Language English ● Format PDF ● Pages 606 ● ISBN 9783110208535 ● File size 10.0 MB ● Publisher De Gruyter ● City Berlin/Boston ● Published 2009 ● Edition 2 ● Downloadable 24 months ● Currency EUR ● ID 6292101 ● Copy protection Adobe DRM
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