000			01188nam a2200217 4500
005			20250502111720.0
008			250502b |||||||| |||| 00| 0 eng d
020			_a9780521743853
037			_cTexual
040			_aRTL _cRTL
084			_aB28 P9 _qRTL
100			_aFreedman David A. _9442544
245			_aStatistical models: Theory and practice
260			_aNew York _bCambridge university press _c2009
300			_axi, 442p. _bIncludes bibliographical reference and index
520			_aThis lively and engaging textbook 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 author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables.
650			_2Mathematical statistics
650			_2Regressions analysis
650			_2Multiple Regression
942			_2CC _n0 _cTB _hB28 P9
999			_c1309919 _d1309919