FUNDAMENTALS OF MATHEMATICAL STATISTICS.
Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics--statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, signif...
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| Format: | eBook |
| Language: | English |
| Published: |
[S.l.] :
CHAPMAN & HALL CRC,
2023.
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| Series: | Chapman & Hall/CRC texts in statistical science series
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics--statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, significance testing, and models for tables of counts. It assumes a good background in mathematical analysis, linear algebra, and probability but includes an appendix with basic results from these areas. Throughout the text, there are numerous examples and graduated exercises that illustrate the topics covered, rendering the book suitable for teaching or self-study. Features A concise yet rigorous introduction to a one-semester course in Mathematical Statistics Covers all the key topics Assumes a solid background in Mathematics and Probability Numerous examples illustrate the topics Many exercises enhance understanding of the material and enable course use This textbook will be a perfect fit for an advanced course in Mathematical Statistics or Statistical Theory. The concise and lucid approach means it could also serve as a good alternative, or supplement, to existing texts. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781000831962 1000831965 1000831981 9781003272359 1003272355 9781000831986 |