Showing 1 - 7 of 7
A design is called feasible if all the ANOVA parameters in it are estimable. This paper provides a simple method to judge the feasibility of a design using matrix image. Furthermore, a broad family of feasible designs is obtained.
Persistent link: https://www.econbiz.de/10010752963
The Bayesian estimators for the unknown parameters of the bivariate Marshall–Olkin exponential distribution under noninformative priors have been considered and several reference priors have been derived. A class of priors is found by matching the coverage probability of one-side Bayesian...
Persistent link: https://www.econbiz.de/10010871418
In this paper, objective Bayesian analysis of Pareto distributions under progressive Type-II censoring is considered. Three types of noninformative priors (Jeffreys prior, two reference priors and two general forms of second order probability matching prior) are given. We show that one of the...
Persistent link: https://www.econbiz.de/10010597143
In Bayesian analysis with objective priors, it should be justified that the posterior distribution is proper. In this paper, we show that the reference prior (or independent Jeffreys prior) of a two-parameter Birnbaum-Saunders distribution will result in an improper posterior distribution....
Persistent link: https://www.econbiz.de/10008914418
An equity-indexed annuity (EIA) contract offers a proportional participation in the return on a specified equity index, in addition to a guaranteed return on the single premium. In this paper, we discuss the valuation of equity-indexed annuities under stochastic mortality and interest rate which...
Persistent link: https://www.econbiz.de/10008865468
This paper discusses the Bayesian inference of accelerated life tests (ALT) in the presence of competing failure causes. The time to failure due to a specific cause is described by a Weibull distribution. A two-stage approach is utilized to obtain the estimates of parameters in the model. We use...
Persistent link: https://www.econbiz.de/10009142756
In this paper we consider the Bayesian estimators for the unknown parameters of the Birnbaum-Saunders distribution under the reference prior. The Bayesian estimators cannot be obtained in closed forms. An approximate Bayesian approach is proposed using the idea of Lindley and Gibbs sampling...
Persistent link: https://www.econbiz.de/10008484603