The logit and probit models have become critical parts of the management researcher's analytical arsenal, growing rapidly from almost no use in the 1980s to appearing in 15% of all articles published ...

加纳统计部门的研究人员通过1600名学徒的多阶段抽样调查，首次系统比较了调查加权多项Logit回归 (SW-MNLR)与多项Probit (MNP)在7类职业选择（汽车机械/电气、砌筑等）中的表现。

加纳学徒选择数据分析：加权多项Logit与Probit模型的比较性能研究 《Scientific African》：Comparative Performance of Survey-Weighted Multinomial Logit and Probit Models in Analyzing Apprenticeship Choice Data from Ghana 【字体： 大 中 小 】 ...

Logit and probit, the two most common techniques for estimation of models with a dichotomous dependent variable, impose the assumption that individuals with a probability of .5 of choosing either of ...

The flexibility and power that probit and logit models bring to the table suggest that running the numbers through these filters should be on everyone's short list of analytical tools.

We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that ...

The principal models examined in the course are binary logit and probit, multinomial logit, ordinal logit and probit, tobit, and the family of Poisson regression models. The Heckman correction for ...

Three link functions are available in the LOGISTIC procedure. The logit function is the default. To specify a different link function, use the LINK= option in the MODEL statement. The link functions ...