Modeling by Beta Gompertz Distribution Based on K-S Test Statistic

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Year:
2019
Type of Publication:
Article
Keywords:
Beta Gompertz Distribution, Monte Carlo Simulation, Goodness of Fit Test, Complete Sampling
Authors:
Hanaa Abu-Zinadah; Asmaa Binkhamis
Journal:
IJISM
Volume:
7
Number:
6
Pages:
231-238
Month:
November
ISSN:
2347-9051
Abstract:
The goodness of fit test for beta Gompertz (BGpz) distribution with two unknown parameters were studied by using the common goodness of fit test statistic (Kolmogorov-Smirnov (K-S)) based on a complete sample. A table of critical values obtained based the K-S test statistic for the BGpz distribution. Monte Carlo simulation have been carried out for power calculations to test different alternative distributions. Finally, two real data sets were used to test the proposed distribution with other well-known distributions.

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