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Journal ArticleDOI: 10.1080/16843703.2020.1819138

Joint monitoring of mean and variance using likelihood ratio test statistic with measurement error

04 Mar 2021-Quality Technology and Quantitative Management (Informa UK Limited)-Vol. 18, Iss: 2, pp 202-224
Abstract: This paper explores the effect of measurement errors on a joint monitoring control chart by using three different techniques (i) covariate method (ii) multiple measurements (iii) linear increasing

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Topics: Likelihood-ratio test (58%), Covariate (57%), Statistic (56%) ... read more
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Journal ArticleDOI: 10.1080/03610926.2020.1851721
Abstract: Quality control charts are widely used as a process monitoring tool. In this article, an attempt is made to develop a new control chart that integrates the exponentially weighted moving average pro...

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Topics: Control chart (57%), Likelihood-ratio test (56%), Statistic (55%)

2 Citations



Journal ArticleDOI: 10.1080/03610926.2020.1867743
Abstract: A control chart is used to monitor longitudinal measurements of a quality characteristic and detects undesirable causes of variability. In practice, measurement error may exist and deteriorate the ...

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Topics: Observational error (55%), EWMA chart (53%), Control chart (51%)

1 Citations


Journal ArticleDOI: 10.1080/03610918.2021.1931322
Abstract: Simultaneously monitoring of process mean and dispersion for the normal process has gained considerable attention. In this manuscript, we have proposed a maximum exponentially weighted moving avera...

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Topics: EWMA chart (59%)

Journal ArticleDOI: 10.1080/03610926.2021.1958848
Abstract: In recent years, the impact of measurement errors on the performance of various control charts have been well evaluated. However, as far as we know, the multiple sampling control charts in the lite...

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Topics: Control chart (58%)

References
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37 results found


Open accessBook
05 Jun 2009-
Abstract: This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields. Introduction Simple Linear Regression Multiple Linear Regression Detection of Outliers and Influential Observations in Multiple Linear Regression Model Selection Model Diagnostics Extensions of Least Squares Generalized Linear Models Bayesian Linear Regression

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Topics: Proper linear model (77%), General linear model (72%), Linear model (72%) ... read more

511 Citations


Journal ArticleDOI: 10.1080/08982119308918710
Abstract: (1993). GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS. Quality Engineering: Vol. 6, No. 1, pp. 115-135.

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180 Citations


Journal ArticleDOI: 10.1080/00224065.2001.11980068
Kenneth W. Linna1, William H. Woodall2Institutions (2)
Abstract: Significant measurement error often exists in quality control applications. Measurement error is known to result in reduced power to detect a given change in the mean or variance of a quality chara...

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120 Citations


Journal ArticleDOI: 10.1080/00224065.2001.11980084
Abstract: A model demonstrates that the performance of multivariate control charting methods based on measured covariates is not directionally invariant to shifts in the mean vector of the underlying process variables. This is the case even if it is directionally..

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86 Citations


Journal ArticleDOI: 10.1080/02664760903563627
Abstract: Measurement error and autocorrelation often exist in quality control applications. Both have an adverse effect on the X¯ chart's performance. To counteract the undesired effect of autocorrelation, we build-up the samples with non-neighbouring items, according to the time they were produced. To counteract the undesired effect of measurement error, we measure the quality characteristic of each item of the sample several times. The chart's performance is assessed when multiple measurements are applied and the samples are built by taking one item from the production line and skipping one, two or more before selecting the next.

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Topics: EWMA chart (59%), Chart (58%), \bar x and R chart (54%) ... read more

78 Citations