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Estimation in Step Stress Partially Accelerated Life Tests for Rayleigh Distribution Using Type-I Censoring
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.2, No. 11)Publication Date: 2013-11-30
Authors : Shashi Saxena; Shazia Zarrin;
Page : 3308-3313
Keywords : Acceleration factor; Step stress; Fisher Information matrix; generalized asymptotic variance; Optimum test plan; Maximum likelihood estimation; Confidence intervals.;
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Abstract
In this study a step stress partially accelerated life test (SSPALT) using type-I censoring is obtained for Rayleigh distribution. This distribution has been found appropriate for high reliability components. Maximum Likelihood (ML) Estimation is used to estimate the parameters of SSPALT model. Confidence intervals for the model parameters are constructed. An iterative procedure is also used to obtain the estimators numerically.
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Last modified: 2014-11-13 21:04:03