Title :
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
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;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2011.2161152
