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 ...
Equicorrelated binary observations are modelled using a multivariate probit regression model. Log likelihood derivatives are reduced to simple linear combinations of equicorrelated multivariate normal ...
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 ...
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 ...
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