It is known that when the multicollinearity exists in the logistic regressionmodel, variance of maximum likelihood estimator is unstable. As a remedy, inthe context of biased shrinkage ridge estimation, Chang (2015) introduced analmost unbiased Liu estimator in the logistic regression model. Making use ofhis approach, when some prior knowledge in the form of linear restrictions arealso available, we introduce a restricted almost unbiased Liu estimator in thelogistic regression model. Statistical properties of this newly definedestimator are derived and some comparison result are also provided in the formof theorems. A Monte Carlo simulation study along with a real data example aregiven to investigate the performance of this estimator.
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