| 000 | 02317nam a22003498i 4500 | ||
|---|---|---|---|
| 001 | CR9780511610547 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160218.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 090910s2005||||enk o ||1 0|eng|d | ||
| 020 | _a9780511610547 (ebook) | ||
| 020 | _z9780521844727 (hardback) | ||
| 020 | _z9781107630734 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA273.6 _b.S48 2005 |
| 082 | 0 | 0 |
_a515/.782 _222 |
| 100 | 1 |
_aSeverini, Thomas A. _q(Thomas Alan), _d1959- _eauthor. |
|
| 245 | 1 | 0 |
_aElements of distribution theory / _cThomas A. Severini. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2005. |
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| 300 |
_a1 online resource (xii, 515 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aCambridge series on statistical and probabilistic mathematics ; _v17 |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aThis detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered 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, orthogonal polynomials and saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered comprehensively. | ||
| 650 | 0 | _aDistribution (Probability theory) | |
| 776 | 0 | 8 |
_iPrint version: _z9780521844727 |
| 830 | 0 |
_aCambridge series on statistical and probabilistic mathematics ; _v17. |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511610547 |
| 999 |
_c516484 _d516482 |
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