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| 041 |
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|a eng
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| 044 |
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|b مصر
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| 100 |
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|9 738665
|a Behairy, Sarah Mohammad
|e Author
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| 245 |
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|a Prediction for Inverted Topp-Leone Distribution Based on Constant Stress-Partially Accelerated Life Testing
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| 260 |
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|b جامعة الأزهر - كلية التجارة
|c 2023
|g يناير
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| 300 |
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|a 45 - 75
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| 336 |
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|a بحوث ومقالات
|b Article
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| 520 |
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|b Prediction of future observations on the basis of the past and present information is a fundamental problem of statistics, arising in many contexts and producing varied solutions. The predictor can be either a point or an interval predictor. This paper focuses on predicting the future observations from the inverted Topp-Leone distribution for constant stress-partially accelerated life test based on Type II censored samples. The two-sample prediction is applied to obtain the conditional maximum likelihood, Bayesian and E-Bayesian prediction (point and interval) for future order statistics. The Bayes and E-Bayes predictors are considered under two different loss functions, the balanced squared error loss function; as a symmetric loss function and balanced linear exponential loss function; as an asymmetric loss function. The predictors are obtained based on gamma prior and uniform hyperprior distributions. A numerical example is provided to illustrate the theoretical results and an application using real data sets are used to demonstrate how the results can be used in practice.
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| 653 |
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|a التنبؤ المستقبلي
|a الإحصاء الرياضي
|a التنبؤ البايزي
|a توزيع توب ليون
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| 692 |
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|b Inverted Topp-Leone Distribution
|b Balanced Loss Functions
|b Two-Sample Prediction
|b Maximum Likelihood
|b Bayesian and E-Bayesian Prediction
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| 700 |
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|9 530712
|a Al-Sayed, N. T.
|e Co-Author
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| 773 |
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|4 الاقتصاد
|4 إدارة الأعمال
|6 Economics
|6 Management
|c 010
|e Scientific Journal of the Faculty of Commerce
|f Al-Maǧallah al-ʿilmiyyaẗ li Qitāʿ Kulliyyāẗ al-tiǧāraẗ bi Ǧāmiʿaẗ al-Azhar
|l 029
|m ع29
|o 0797
|s المجلة العلمية لقطاع كليات التجارة
|v 000
|x 2636-3674
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| 856 |
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|u 0797-000-029-010.pdf
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| 930 |
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|d y
|p y
|q n
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| 995 |
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|a EcoLink
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|c 1483771
|d 1483771
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