000			01997cam a2200385 a 4500
001			000509646
003			OCoLC
005			20240105144829.0
008			060704s1994 caua rb 000 0 eng d
020			_a0803949995 (pbk.)
035			_a317945
040			_aDLC _bspa _cDLC _dUIASF
050		4	_aQA 279 _bL52.1994
082	0	4	_a519.5/38 _220
084			_a70.03 _2bcl
100	1		_aLiao, Tim Futing.
245	1	0	_aInterpreting probability models : _blogit, probit, and other generalized linear models / _cTim Futing Liao.
260			_aThousand Oaks, Calif. : _bSage, _c1994.
300			_avii, 88 p. : _bil. ; _c22 cm.
440		0	_aSage university papers series. _pQuantitative applications in the social sciences ; _vno. 07-101
504			_aIncluye referencias bibliográficas (p. 85-87)
505	0		_a1. Introduction -- Why probability models? -- Why interpretation? -- 2. Generalized linear models and the interpretation of parameters -- Generalized linear models -- Interpretation of parameter estimates -- 3. Binary logit and probit models -- Logit models -- Interpretation of logit models -- Probit models -- Interpretation of probit models -- Logit or probit models? -- 4. Sequential logit and probit models -- The model -- Interpretation of sequential logit and probit models -- 5. Ordinal logit and probit models -- The model -- Interpretation of ordinal logit and probit models -- 6. Multinomial logit models -- The model -- Interpretation of multinomial logit models -- 7. Conditional logit models -- The model -- Interpretation of conditional logit models -- 8. Poisson regression models -- The model -- Interpretation of poisson regression models -- 9. Conclusion.
650		0	_aLinear models (Statistics)
650		4	_aModelos lineales (Estadística)
650		0	_aLogits.
650		4	_aLogits.
650		0	_aProbits.
650		4	_aProbits.
905			_a01
049			_aUIAA
942		1	_cNEWBFXC1
999			_c479795 _d479795
980			_851 _gRonald RUIZ