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Mathematical statistics
This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter...
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| Lenguaje: | eng |
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Springer
2003
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| Acceso en línea: | https://dx.doi.org/10.1007/b97553 http://cds.cern.ch/record/1568611 |
| _version_ | 1780931006456397824 |
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| author | Shao, Jun |
| author_facet | Shao, Jun |
| author_sort | Shao, Jun |
| collection | CERN |
| description | This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapt |
| id | cern-1568611 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2003 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-15686112021-04-21T22:33:09Zdoi:10.1007/b97553http://cds.cern.ch/record/1568611engShao, JunMathematical statisticsMathematical Physics and MathematicsThis graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chaptSpringeroai:cds.cern.ch:15686112003 |
| spellingShingle | Mathematical Physics and Mathematics Shao, Jun Mathematical statistics |
| title | Mathematical statistics |
| title_full | Mathematical statistics |
| title_fullStr | Mathematical statistics |
| title_full_unstemmed | Mathematical statistics |
| title_short | Mathematical statistics |
| title_sort | mathematical statistics |
| topic | Mathematical Physics and Mathematics |
| url | https://dx.doi.org/10.1007/b97553 http://cds.cern.ch/record/1568611 |
| work_keys_str_mv | AT shaojun mathematicalstatistics |