ARL-unbiased control charts for the monitoring of exponentially distributed characteristics based on type-II censored samples
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 2734-2747 |
Number of pages | 14 |
Journal / Publication | Journal of Statistical Computation and Simulation |
Volume | 84 |
Issue number | 12 |
Online published | 21 Mar 2014 |
Publication status | Published - 2014 |
Link(s)
Abstract
In this paper, the problem of monitoring process data that can be modelled by exponential distribution is considered when observations are from type-II censoring. Such data are common in many practical inspection environment. An average run length unbiased (ARL-unbiased) control scheme is developed when the in-control scale parameter is known. The performance of the proposed control charts are investigated in terms of the ARL and standard deviation of the run length. The effects of parameter estimation on the proposed control charts are also evaluated. Then, we consider the design of the ARL-unbiased control charts when the in-control scale parameter is estimated. Finally, an example is used to illustrate the implementation of the proposed control charts.
Research Area(s)
- exponential distribution, average run length, process control, unbiased control chart, type-II censoring
Citation Format(s)
In: Journal of Statistical Computation and Simulation, Vol. 84, No. 12, 2014, p. 2734-2747.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review