Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.
發表於2024-12-24
Linear Probability, Logit, and Probit Models 2024 pdf epub mobi 電子書 下載
圖書標籤: statistics 數學 統計 社會學
Linear Probability, Logit, and Probit Models 2024 pdf epub mobi 電子書 下載