000 | 02380nam a2200361 i 4500 | ||
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001 | CR9781108773157 | ||
003 | UkCbUP | ||
005 | 20240909174854.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 190410s2023||||enk o ||1 0|eng|d | ||
020 | _a9781108773157 (ebook) | ||
020 | _z9781108488907 (hardback) | ||
020 | _z9781108715669 (paperback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
050 | 4 |
_aQA276.7 _b.E47 2023 |
|
082 | 0 | 4 |
_a519.5 _223 |
100 | 1 |
_aEfron, Bradley, _eauthor. |
|
245 | 1 | 0 |
_aExponential families in theory and practice / _cBradley Efron. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2023. |
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300 |
_a1 online resource (xii, 250 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 |
_aInstitute of Mathematical Statistics textbooks ; _v16 |
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500 | _aTitle from publisher's bibliographic system (viewed on 23 Nov 2022). | ||
520 | _aDuring the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation. | ||
650 | 0 | _aExponential families (Statistics) | |
776 | 0 | 8 |
_iPrint version: _z9781108488907 |
830 | 0 |
_aInstitute of Mathematical Statistics textbooks ; _v16. |
|
856 | 4 | 0 | _uhttps://doi.org/10.1017/9781108773157 |
942 |
_2ddc _cEB |
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999 |
_c9114 _d9114 |