Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model

المؤلفون المشاركون

Msallam, Basim Shlaibah
Kamar, Saifaldin Hashim

المصدر

Journal of Probability and Statistics

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-01-14

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الرياضيات

الملخص EN

The Weibull growth model is an important model especially for describing the growth instability; therefore, in this paper, three methods, namely, generalized maximum entropy, Bayes, and maximum a posteriori, for estimating the four parameter Weibull growth model have been presented and compared.

To achieve this aim, it is necessary to use a simulation technique to generate the samples and perform the required comparisons, using varying sample sizes (10, 12, 15, 20, 25, and 30) and models depending on the standard deviation (0.5).

It has been shown from the computational results that the Bayes method gives the best estimates.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Kamar, Saifaldin Hashim& Msallam, Basim Shlaibah. 2020. Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model. Journal of Probability and Statistics،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1190187

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Kamar, Saifaldin Hashim& Msallam, Basim Shlaibah. Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model. Journal of Probability and Statistics No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1190187

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Kamar, Saifaldin Hashim& Msallam, Basim Shlaibah. Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model. Journal of Probability and Statistics. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1190187

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1190187