A new procedure : bayesian selection to find the best of geometric population under general loss function

المؤلف

Hathut, Samira Faysal

المصدر

Journal of Kufa for Mathematics and Computer

العدد

المجلد 1، العدد 6 (31 ديسمبر/كانون الأول 2012)، ص ص. 49-56، 8ص.

الناشر

جامعة الكوفة كلية الرياضيات و علوم الحاسوب

تاريخ النشر

2012-12-31

دولة النشر

العراق

عدد الصفحات

8

التخصصات الرئيسية

الرياضيات

الملخص EN

In many practical situations the experimenter is confronted with the problem of choosing the best one of a number of populations or categories or ranking them according to their performance.

This paper derives a procedure for selecting the better of Two Geometric populations employing a decision-theoretic Bayesian framework with Beta prior under general loss function.

The numerical results for this procedure are given by using Math Works Matlab ver 7.0.1 with different loss functions constant, linear and quadratic, where in one equation we can obtain the Bayes risk for the three types of the loss functions : constant, linear and quadratic.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hathut, Samira Faysal. 2012. A new procedure : bayesian selection to find the best of geometric population under general loss function. Journal of Kufa for Mathematics and Computer،Vol. 1, no. 6, pp.49-56.
https://search.emarefa.net/detail/BIM-317900

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hathut, Samira Faysal. A new procedure : bayesian selection to find the best of geometric population under general loss function. Journal of Kufa for Mathematics and Computer Vol. 1, no. 6 (Dec. 2012), pp.49-56.
https://search.emarefa.net/detail/BIM-317900

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hathut, Samira Faysal. A new procedure : bayesian selection to find the best of geometric population under general loss function. Journal of Kufa for Mathematics and Computer. 2012. Vol. 1, no. 6, pp.49-56.
https://search.emarefa.net/detail/BIM-317900

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 56

رقم السجل

BIM-317900