Elements of distribution theory
This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master's and PhD students in statistics, biostatistics, and econometrics. The text uses no measure theory, requiring only a background in calculu...
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| Idioma: | Undetermined English |
| Publicado em: |
New York, NY
Cambridge University Press
2005
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| 008 | 210423s9999 xx 000 0 und d | ||
| 020 | |a 052184472X | ||
| 020 | |a 9780521844727 | ||
| 041 | |a eng | ||
| 082 | |a 515.782 | ||
| 082 | |b S4985 | ||
| 100 | |a Severini, Thomas A. | ||
| 245 | 0 | |a Elements of distribution theory | |
| 245 | 0 | |c Thomas A. Severini | |
| 260 | |a New York, NY | ||
| 260 | |b Cambridge University Press | ||
| 260 | |c 2005 | ||
| 300 | |a xii, 515 p. | ||
| 300 | |b ill. | ||
| 300 | |c 27 cm | ||
| 504 | |a Includes bibliographical references (p. 503-505) and indexes | ||
| 520 | |a This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master's and PhD students in statistics, biostatistics, and econometrics. The text uses no measure theory, requiring only a background in calculus and linear algebra. Topics range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals and orthogonal polynomials. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book | ||
| 650 | |a Distribution (Probability theory) | ||
| 700 | |a Thomas A. Severini | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Trà Vinh | ||