Some statistical inferences on Inlier(s) models

K. Muralidharan () and Arti Khabia ()
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K. Muralidharan: The Maharajah Sayajirao University of Baroda
Arti Khabia: The Maharajah Sayajirao University of Baroda

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 3, 18-25

Abstract: Abstract The occurrences of instantaneous failures, nearly instantaneous failures and early failures are natural in many life testing experiments. They are generally called Inliers, which appears to be inconsistent with the remaining data set. The inliers are either the resultant of sudden changes/failures usually encountered in life testing, financial, clinical trial and many other studies. To accommodate such instances the failure time distributions are modified by defining as those observations which are very small compared to the other positive observations. In this paper, we unify all the three types of failures into one model and study some inferences on the model parameters. The detection of inliers is done for single and multiple inliers using various procedures. A real life application is also discussed.

Keywords: Failure time distribution; Instantaneous failures; Early failures; Point estimation; Tests of hypothesis; Power of the test (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-014-0284-8

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