Inference on the Parameters and Optimal Design of Simple Step-Stress Accelerated Life Testing for Weighted Exponential Distribution

نوع المستند : المقالة الأصلية

المؤلف

Department of Statistics - Faculty of Commerce - Al-Azher University - Egypt

المستخلص

   This paper considers life-testing experiments and its influence of stress factors such as, temperature or electricity loads on the lives of experiment items. Step-Stress test is a special class of accelerated life tests, which allows the researcher to increase stress levels more than normal during the experiment to see the surviving items. The lifetime distribution of the test items is assumed to follow weighted exponential distribution that considered. Different methods for estimating the parameters are discussed. These methods are mainly maximum likelihood and confidence interval estimations which generates narrow intervals to the unknown parameters of the distribution with high probability based on asymptotic normality. Numerical study to illustrate the optimal time procedure using MathCAD (2001) is discussed.
    

نقاط رئيسية

 Accelerate Life Testing,

Step-Stress, Maximum Likelihood Estimator;

Information Matrix,

Confidence Interval Estimators,

Weighted Exponential Distributions.

الكلمات الرئيسية

ملفات

شارك

إرسال الاستشهاد إلى

الإحصائيات