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Journal ArticleDOI

Nonparametric control chart based on change-point model

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TLDR
In this paper, a change-point control chart for detecting shifts in the mean of a process is developed for the case where the nominal value of the mean is unknown but some historical samples are available.
Abstract
A change-point control chart for detecting shifts in the mean of a process is developed for the case where the nominal value of the mean is unknown but some historical samples are available. This control chart is a nonparametric chart based on the Mann–Whitney statistic for a change in mean and adapted for repeated sequential use. We do not require any knowledge of the underlying distribution such as the normal assumption. Particularly, this distribution robustness could be a significant advantage in start-up or short-run situations where we usually do not have knowledge of the underlying distribution. The simulated results show that our approach has a good performance across the range of possible shifts and it can be used during the start-up stages of the process.

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Citations
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A Non-parametric Control Chart for Controlling Variability Based on Squared Rank Test

TL;DR: A non-parametric control chart for controlling variability has been developed and its in control state performances have been computed for different distributions and compared with existing Shewhart S chart.
Journal ArticleDOI

An Empirical-Likelihood-Based Multivariate EWMA Control Scheme

TL;DR: In this article, the authors developed a new multivariate SPC methodology for monitoring location parameter based on adapting a well-known nonparametric method, empirical likelihood (EL), to on-line sequential monitoring, which is more robust to various multivariate non-normal data than the MEWMA chart under the in-control (IC) situation.
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An adaptive exponentially weighted moving average: control chart

TL;DR: In this article, the authors proposed an adaptive weighted moving average (AEWMA) control chart that weights the past observations of the monitored process using a suitable function of the current "error".
Proceedings ArticleDOI

An effective fault detection technique for a quasi-Z-Source based grid-tied PV system

TL;DR: Simulation results show the effectiveness of the proposed EWMA based fault detection technique in detecting faults compared to the conventional Generalized Likelihood Ratio Test (GLRT) technique.
References
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Journal ArticleDOI

On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other

TL;DR: In this paper, the authors show that the limit distribution is normal if n, n$ go to infinity in any arbitrary manner, where n = m = 8 and n = n = 8.
Book

Introduction to Statistical Quality Control

TL;DR: In this article, the authors present a survey of statistical process control and capability analysis techniques for improving the quality of a business process in the modern business environment, using a variety of techniques.
Book

Nonparametric Statistical Inference

TL;DR: Theoretical Bases for Calculating the ARE Examples of the Calculations of Efficacy and ARE Analysis of Count Data.
Journal ArticleDOI

A Non-Parametric Approach to the Change-Point Problem

TL;DR: In this paper, nonparametric techniques are introduced for the change point problem and exact and approximate results are obtained for testing the null hypothesis of no change for zero-one observations, Binomial observations, and continuous observations.
Journal Article

Exponentially weighted moving average control schemes: Properties and enhancements

TL;DR: The recognition that an EWMA control scheme can be represented as a Markov chain allows its properties to be evaluated more easily and completely than has previously been done.
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