Title
Estimation of exponential population with nonconstant parameters under constant-stress model.
Abstract
Accelerated life test (ALT) was introduced which provides a feasible and efficient way by testing units at higher-than-use condition. This paper considers inference of constant-stress ALT model for exponential population under a general assumption that both exponential scale and location parameters are nonconstant and follow log-linear life-stress model with stress level. Under progressive Type-II censoring, maximum likelihood and pivotal quantities based point estimates for unknown coefficient parameters are proposed. Confidence interval estimates are also constructed by using asymptotic theory and bootstrap techniques. Simulation study and an illustrative example are provided for illustrative purpose.
Year
DOI
Venue
2018
10.1016/j.cam.2018.03.039
Journal of Computational and Applied Mathematics
Keywords
Field
DocType
primary,secondary
Point estimation,Applied mathematics,Population,Mathematical optimization,Exponential function,Life test,Inference,Confidence interval,Censoring (statistics),Bootstrapping (electronics),Mathematics
Journal
Volume
ISSN
Citations 
342
0377-0427
1
PageRank 
References 
Authors
0.41
4
1
Name
Order
Citations
PageRank
Liang Wang11567158.46