Modeling parameters of a load-sharing system through link fuinctions in sequential order statistics models and associated inference

N Balakrishnan; E.A. Beutner; U. Kamps

doi:10.1109/TR.2011.2161152

Modeling parameters of a load-sharing system through link fuinctions in sequential order statistics models and associated inference

N Balakrishnan^*, E.A. Beutner, U. Kamps

^*Corresponding author for this work

Quantitative Economics

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	605-611
Number of pages	7
Journal	Ieee Transactions on Reliability
Volume	60
Issue number	3
DOIs	https://doi.org/10.1109/TR.2011.2161152
Publication status	Published - Sept 2011

Keywords

Equal load-sharing model
link function
maximum likelihood estimation
minimum variance unbiased estimation
plug-in estimates
OF-N SYSTEMS
RESIDUAL LIFE
DISTRIBUTIONS

Access to Document

10.1109/TR.2011.2161152

Cite this

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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.",

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KW - maximum likelihood estimation

KW - minimum variance unbiased estimation

KW - plug-in estimates

KW - OF-N SYSTEMS

KW - RESIDUAL LIFE

KW - DISTRIBUTIONS

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DO - 10.1109/TR.2011.2161152

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