*In this chapter we will consider regression models when the regressand is dichotomous or binary in nature. The data is of the form ,where the dependent variable Y_{i}, i = 1, …, n are the observed binary outputs assumed to be independent (in the statistical sense) of each other, the vector X_{i}, i = 1,…, n, are the covariates (independent variables in the sense of a regression problem) associated with Yi. In the previous chapter we considered the linear regression model where the regressand was assumed to be continuous along with the assumption of normality for the error distribution. Here, we will consider a ...*

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