Comparison between normal weights and conditional Bays weights in Iterative principal component estimators
DOI:
https://doi.org/10.33095/jeas.v24i109.1566الكلمات المفتاحية:
انموذج الانحدار اللاخطي ، مقدرات المركبات الرئيسية التكرارية، الاوزان الاعتيادية ، الاوزان البيزية الشرطية.، Nonlinear Regression Model, Iterative principal component estemaite, Normal weights , conditional Bays weights .الملخص
Abstract:
This paper discusses the problem of semi maulticollinearity in the nonlinear regression model (the multi-logistic regression model) When the dependent variable is a qualitative variable, the binary response is either equal to one for a response or zero for no response, Through the use of Iterative principal component estimatorsWhich are based on the normal weights and conditional Bays weights .
If the appliede Estimates this model Through the use of two types of drugs concentrations thy concentration of ciprodar (variable X1) On a number of people with Patients with renal disease represent the dependent variable (The person heals from the disease , The person has not recovered from the disease )from through Mean Error Squares (MSE) The results were indicative of Iterative principal component estemaite Depending on the conditional Bays weights prefer the Iterative principal component estimators Depending on the the normal weights.
التنزيلات
التنزيلات
منشور
إصدار
القسم
الرخصة
Articles submitted to the journal should not have been published before in their current or substantially similar form or be under consideration for publication with another journal. Please see JEAS originality guidelines for details. Use this in conjunction with the points below about references, before submission i.e. always attribute clearly using either indented text or quote marks as well as making use of the preferred Harvard style of formatting. Authors submitting articles for publication warrant that the work is not an infringement of any existing copyright and will indemnify the publisher against any breach of such warranty. For ease of dissemination and to ensure proper policing of use, papers and contributions become the legal copyright of the publisher unless otherwise agreed.
The editor may make use of Turtitin software for checking the originality of submissions received.
