Modeling Parameters of a Load-Sharing System Through Link Functions in Sequential Order Statistics Models and Associated Inference

Author

Balakrishnan, Narayanaswamy ; Beutner, Eric ; Kamps, Udo

Author_Institution

Dept. of Math. & Stat., Mc Master Univ., Hamilton, ON, Canada

Volume

60

Issue

3

fYear

2011

Firstpage

605

Lastpage

611

Abstract

In a multi-sample experiment, we model the parameters of an equal load-sharing system by means of link functions in sequential order statistics models, and then discuss the estimation of these parameters based on a given link function. Different link functions are examined along with the corresponding maximum likelihood estimators, and their properties are studied both analytically and through Monte Carlo simulations.

Keywords

Monte Carlo methods; maximum likelihood sequence estimation; statistical analysis; Monte Carlo simulation; associated inference; equal load sharing system; link function; load sharing system; maximum likelihood estimator; modeling parameters; multisample experiment; sequential order statistics model; Biological system modeling; Joining processes; Joints; Load modeling; Mathematical model; Maximum likelihood estimation; Equal load-sharing model; link function; maximum likelihood estimation; minimum variance unbiased estimation; plug-in estimates;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/TR.2011.2161152

Filename

5954150