Statistical Analysis Of A Kind Of Accelerated Life Test Under Exponential Distribution

Accelerated life test is one of the most important method in reliability statistics, while exponential distribution is the common and important life distribution, it plays a great role in the area of reliability.In this paper, we study the estimation of parameters for a kind of accelerated life test under exponential distribution, which enrich the results of statistical analysis of accelerated life test. Firstly, we give the statistical analysis of step-stress accelerated life test under grouped and censored data when the accelerated life equation has m unknown parameters. Second, we study the estimation of the double-parameter exponential distribution for the progressive-stress accelerated life test and the mixed accelerated life test with the methods of inverse moment estimation and maximum likelihood estimation, under the progressive stress of v(t)=kt+v0.