DOAJ Open Access 2020

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

Saifaldin Hashim Kamar Basim Shlaibah Msallam

Abstrak

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.

Topik & Kata Kunci

Probabilities. Mathematical statistics

Penulis (2)

Saifaldin Hashim Kamar

Basim Shlaibah Msallam

Format Sitasi

APA MLA BibTeX

Kamar, S.H., Msallam, B.S. (2020). Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model. https://doi.org/10.1155/2020/7967345

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.1155/2020/7967345
Akses: Open Access ✓