Journal of Statistics: Advances in Theory and ApplicationsAuthor's: G. Srinivasa Rao and Ch. Ramesh Naidu
Pages: [19] - [35]
Received Date: October 14, 2012
Submitted by:
In this paper, we consider the estimation of multicomponent
stress-strength reliability. The system is regarded as alive only if
at least s out of 
strengths exceed the stress. The
reliability of such a system is obtained when strength, stress
variates are from exponentiated half logistic distribution with
different index parameters. The reliability is estimated by using the
maximum likelihood (ML) method of estimation when samples drawn from
strength and stress distributions. The reliability estimators are
compared asymptotically. The small sample comparison of the
reliability estimates is made through Monte Carlo simulation. Using
real data sets, we illustrate the procedure.
exponentiated half logistic distribution, reliability estimation, stress-strength, ML estimation, confidence intervals.
