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A Comparison Between Classic Local Least Estimatop And Bayesian Methoid For Estimating Semiparametric Logistic Regression Model | ||
| journal of Economics And Administrative Sciences/ University of baghdad | ||
| Article 1, Volume 22, Issue 88, 2016, Pages 431-446 | ||
| Abstract | ||
| Semi-parametric models analysis is one of the most interesting subjects in recent studies due to give an efficient model estimation. The problem when the response variable has one of two values either 0 ( no response) or one – with response which is called the logistic regression model. We compare two methods Bayesian and . Then the results were compared using MSe criteria. A simulation had been used to study the empirical behavior for the Logistic model , with different sample sizes and variances. The results using represent that the Bayesian method is better than the at small samples sizes. | ||
| Keywords | ||
| Logistic regression; semiparametric model; Bayesian; Kernel function; bandwidth | ||
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