JSTOR Daily

An Augmented Probit Model for Missing Predictable Covariates in Quantal Bioassay with Small Sample Size

This is a preview. Log in through your library . Abstract Quantal bioassay experiments relate the amount or potency of some compound; for example, poison, antibody, or drug to a binary outcome such as ...
Simon Fraser University

Example 45.3: Probit Model with Likelihood function

and is the normal probability function. This is the likelihood function for a binary probit model. This likelihood is strictly positive so that you can take a square root of and use this as your ...
Simon Fraser University

Example 46.3: Probit-Normal Model with Ordinal Data

The data for this example are from Ezzet and Whitehead (1991), who describe a crossover experiment on two groups of patients using two different inhaler devices (A and B). Patients from group 1 used ...
JSTOR Daily

Quasi Maximum Likelihood Estimation of Multivariate Probit Models: Farm Couples' Labor Participation

Joint estimation of farmers' farm and off-farm work participation requires a multivariate probit model, in which the number of equations is twice the number of household members. Where there are more ...