Joint distribution of a random sample and an order statistic: A new approach with an application in reliability analysis

02/06/2019
by   Ismihan Bairamov, et al.
0

This paper considers the joint distribution of elements of a random sample and an order statistic of the same sample. The motivation for this work stems from the important problem in reliability analysis, to estimate the number of inspections we need in order to detect failed components in a coherent system. We consider an (n-r+1)-out-of-n system, which is intact until at least n-r+1 of the components are alive, and it fails if the number of failed components exceeds r. The life time of the system is the statistic. Assuming that some of the components failed but the system is still functioning, using the results presented in this paper it is possible to find an expected value of the number of inspections we need to do for detecting certain number of failed components.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/11/2019

On Cramér-von Mises statistic for the spectral distribution of random matrices

Let F_N and F be the empirical and limiting spectral distributions of an...
research
05/20/2019

On approximation of the distribution for Pearson statistic

The paper considers the classical Goodness of Fit test. It suggests to...
research
01/20/2021

Operation comfort vs. the importance of system components

The purpose of this report is to look at the measures of importance of c...
research
04/12/2019

New statistic for detecting laboratory effects in ORDANOVA

The present study defines a new statistic for detecting laboratory effec...
research
01/31/2019

A test bed for measuring UAV servo reliability

The era of Unmanned aviation is flourishing and advancing in leaps and b...
research
08/20/2018

A Structural-Factor Approach to Modeling High-Dimensional Time Series

This paper considers a structural-factor approach to modeling high-dimen...
research
05/10/2019

Generating Random Samples from Non-Identical Truncated Order Statistics

We provide an efficient algorithm to generate random samples from the bo...

Please sign up or login with your details

Forgot password? Click here to reset