• There are currently no refbacks.

Copyright (c) 2018 Pakistan Journal of Statistics and Operation Research

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Parameter Estimations and Optimal Design of Simple Step-Stress Model for Gamma Dual Weibull Distribution


Accelerate Life Testing; Maximum Likelihood Estimator; Information Matrix; Confidence Interval Estimators; Dual Weibull Distributions


This paper considers life-testing experiments and how it is effected by stress factors: namely temperature, electricity loads, cycling rate and pressure. A major type of accelerated life tests is a step-stress model that allows the experimenter to increase stress levels more than normal use during the experiment to see the failure items. The test items are assumed to follow Gamma Dual Weibull distribution. Different methods for estimating the parameters are discussed. These include Maximum Likelihood Estimations and Confidence Interval Estimations which is based on asymptotic normality generate narrow intervals to the unknown distribution parameters with high probability. MathCAD (2001) program is used to illustrate the optimal time procedure through numerical examples.





Pakistan Journal of Statistics and Operation Research; Vol. 14 No. 1, 2018

Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810