A Comparison Between Classic Local Least Estimatop And Bayesian Methoid For Estimating Semiparametric Logistic Regression Model

Authors

  • قتيبة نبيل نايف
  • علي محمد علي

DOI:

https://doi.org/10.33095/jeas.v22i88.568

Keywords:

الانحدار اللوجستي- أنموذج شبه المعلمي- المقدر - مقدر بيز- دالة اللب-عرض الحزمة .

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.

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Published

2016-04-01

Issue

Section

Statistical Researches

How to Cite

“A Comparison Between Classic Local Least Estimatop And Bayesian Methoid For Estimating Semiparametric Logistic Regression Model” (2016) Journal of Economics and Administrative Sciences, 22(88), p. 431. doi:10.33095/jeas.v22i88.568.

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