International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 106 | Views: 262

Research Paper | Mathematics | India | Volume 3 Issue 12, December 2014 | Popularity: 6.2 / 10


     

Unbiased Variance Estimators in System Reliability of Mixed Configuration Models

M. Reni Sagayaraj, A. Merceline Anita, A. Chandra Babu


Abstract: Unbiasedness is a highly desirable property of an Estimator if testing samples are small. We discuss the role of Unbiased Variance Estimator in System Reliability that can be applicable for any system decomposed into series-parallel connections as long as components Reliability Estimates are mutually independent. We present two different models in this paper and comparative study has been made based on the biased and unbiased nature of the system and components. Certain Illustrations related to these models are provided with Fault-Tree Analysis Approach.


Keywords: System Reliability, Biased and Unbiased Estimators, Variance, Fault-Tree


Edition: Volume 3 Issue 12, December 2014


Pages: 2576 - 2582



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M. Reni Sagayaraj, A. Merceline Anita, A. Chandra Babu, "Unbiased Variance Estimators in System Reliability of Mixed Configuration Models", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 2576-2582, URL: https://www.ijsr.net/getabstract.php?paperid=SUB141072, DOI: https://www.doi.org/10.21275/SUB141072



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