Equicorrelated binary observations are modelled using a multivariate probit regression model. Log likelihood derivatives are reduced to simple linear combinations of equicorrelated multivariate normal ...
The statistic for testing the fit of a linear model, or the statistic for testing a linear hypothesis under the model, when using probits or logits, has a central χ 2-distribution for large samples if ...
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 ...
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