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|a eng
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|b الأردن
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100 |
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|a Hassan, Mohammed El-Amin
|e Author
|9 420257
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|a Performance of Parametric Bayesian Methods for Estimating the Survivor Function in Uncensored Data Using Monte-Carlo Simulation
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260 |
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|b مركز رفاد للدراسات والأبحاث
|c 2021
|g ديسمبر
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300 |
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|a 430 - 436
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336 |
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|a بحوث ومقالات
|b Article
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520 |
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|b The paper aimed to investigate the performance of some parametric survivor function estimators based on Bayesian methodology with respect to bias and efficiency. A simulation was conducted based on Mote Carlo experiments with different sample sizes different (10, 30, 50, 75, 100). The bias and variance of mean square Error V(MSE) were selected as the basis of comparison. The methods of estimation used in this study are Maximum Likelihood, Bayesian with exponential as prior distribution and Bayesian with gamma as prior distribution. A Monte Carlo Simulation study showed that the Bayesian method with gamma as prior distribution was the best performance than the other methods. The study recommended that.
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653 |
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|a الرقابة الإدارية
|a الانحدار الذاتي
|a الطرق البارامترية
|a الأساليب الإحصائية
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692 |
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|b Bayesian Method
|b Parametric
|b Monte Carlo Simulation
|b Survivor Function
|b Censoring
|b Maximum Likelihood Method
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700 |
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|a Musa, Fakhereldeen Elhaj Esmial
|e Co-Author
|9 654367
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773 |
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|4 الاقتصاد
|6 Economics
|c 006
|e Global Journal Of Economics & Business
|f Global journal of economics and business
|l 003
|m مج11, ع3
|o 1793
|s المجلة العالمية للاقتصاد والأعمال
|v 011
|x 2519-9285
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856 |
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|u 1793-011-003-006.pdf
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|d y
|p y
|q n
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|a EcoLink
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|c 1224891
|d 1224891
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