UID:
almahu_9949462256202882
Format:
1 online resource (597 p.) :
,
Num. figs. 1 frontispiece
ISBN:
9783110208535
,
9783110238570
Series Statement:
De Gruyter Textbook
Content:
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.
Note:
Frontmatter --
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Contents --
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Chapter I. Probability theory --
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Chapter II. Statistics and their probability distributions, estimation theory --
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Chapter III. Hypothesis tests --
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Chapter IV. Simple regression analysis --
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Chapter V. Normal analysis of variance --
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Chapter VI. Non-parametric methods --
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Chapter VII. Stochastic analysis and its applications in statistics --
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Chapter VIII. Vectorial statistics --
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Appendix A. Lebesgue's convergence theorems --
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Appendix B. Product measures --
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Appendix C. Conditional probabilities --
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Appendix D. The characteristic function of the Cauchy distribution --
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Appendix E. Metric spaces, equicontinuity --
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Appendix F. The Fourier transform and the existence of stoutly tailed distributions --
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Backmatter
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Mode of access: Internet via World Wide Web.
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In English.
In:
DGBA Backlist Complete English Language 2000-2014 PART1, De Gruyter, 9783110238570
In:
DGBA Backlist Mathematics 2000-2014 (EN), De Gruyter, 9783110238471
In:
DGBA Mathematics - 2000 - 2014, De Gruyter, 9783110637205
In:
E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2009, De Gruyter, 9783110219517
In:
E-BOOK PACKAGE ENGLISH LANGUAGES TITLES 2009, De Gruyter, 9783110219524
In:
E-BOOK PAKET SCIENCE TECHNOLOGY AND MEDICINE 2009, De Gruyter, 9783110219463
Additional Edition:
ISBN 9783110208528
Language:
English
DOI:
10.1515/9783110208535
URL:
https://doi.org/10.1515/9783110208535
URL:
https://www.degruyter.com/isbn/9783110208535
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