000 | a | ||
---|---|---|---|
999 |
_c30270 _d30270 |
||
008 | 211206b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781107676510 | ||
082 |
_a519.536 _bGEL |
||
100 | _aGelman, Andrew | ||
245 | _aRegression and other stories | ||
260 |
_b University Press, _c2021 _aCambridge : |
||
300 |
_axv, 534 p. ; _bill., _c25 cm |
||
365 |
_b34.99 _cGBP _d104.60 |
||
490 | _aAnalytical methods for social research | ||
504 | _aIncludes bibliographical references and indexes. | ||
520 | _aMany textbooks on regression focus on theory and the simplest examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is a book about how to use regression to solve real problems of comparison, estimation, prediction, and causal inference. It focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use fresh out of the box. | ||
650 | _aRegression analysis | ||
650 | _aMathematical models | ||
650 | _aScientific applications | ||
710 | _aHill, Jennifer | ||
710 | _aVehtari, Aki | ||
942 |
_2ddc _cBK |