Operations Research Systems Analysis (ORSA) Collection.

1. 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.