شماره ركورد كنفرانس :
5263
عنوان مقاله :
Empirical Bayes in Logit Regression Model Analysis
پديدآورندگان :
Azarbar Ali a.azarbar@urmia.ac.ir Department of Mathematics, Faculty of Sciences, Urmia University, Urmia , Iran. , Babayi ُSalman s.babayi@urmia.ac.ir Department of Mathematics, Faculty of Sciences, Urmia University, Urmia , Iran.
كليدواژه :
Discrete Data , Contingency Table , Bayesian Statistical , Empirical Bayes , Logit Model
عنوان كنفرانس :
54 امين كنفرانس رياضي ايران
چكيده فارسي :
One of the reasons for the increasing use of Bayesian statistics compared to classical statistics is the high accuracy of calculations in Bayesian statistics, and this is due to the contribution of the user s previous information and opinions in the statistical inference, and the more this information plays a greater role in the analysis, it will increase accuracy in data modeling. In this study, we model and analyze a three-way contingency table using the empirical Bayes method.
