| 000 | 02370nam a22003738i 4500 | ||
|---|---|---|---|
| 001 | CR9780511815867 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160259.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 101021s2009||||enk o ||1 0|eng|d | ||
| 020 | _a9780511815867 (ebook) | ||
| 020 | _z9780521112437 (hardback) | ||
| 020 | _z9780521743853 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQA279 _b.F74 2009 |
| 082 | 0 | 0 |
_a519.5 _222 |
| 100 | 1 |
_aFreedman, David, _d1938-2008, _eauthor. |
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| 245 | 1 | 0 |
_aStatistical models : _btheory and practice / _cDavid A. Freedman. |
| 250 | _aSecond edition. | ||
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2009. |
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| 300 |
_a1 online resource (xiv, 442 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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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | _aObserved studies and experiments -- The regression line -- Matrix algebra -- Multiple regression -- Multiple regression: Special topics -- Path models -- Maximum likelihood -- The bootstrap -- Simultaneous equations -- Issues in statistical modeling. | |
| 520 | _aThis lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. | ||
| 650 | 0 | _aLinear models (Statistics) | |
| 650 | 0 | _aBootstrap (Statistics) | |
| 650 | 0 | _aMathematical statistics. | |
| 776 | 0 | 8 |
_iPrint version: _z9780521112437 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511815867 |
| 999 |
_c520247 _d520245 |
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