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Gauge capability and designed experiments. part i: basic methods

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In this paper, the authors present a broad overview of generic methods for estimating the capability and designed expertise of a quality engineering system. But they focus on three categories of methods: basic methods, generic methods, and designed methods.
Abstract
(1993). GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS. Quality Engineering: Vol. 6, No. 1, pp. 115-135.

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Applied Predictive Modeling

Max Kuhn, +1 more
TL;DR: This research presents a novel and scalable approach called “Smartfitting” that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of designing and implementing statistical models for regression models.
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Research Issues and Ideas in Statistical Process Control

TL;DR: An overview of current research on control charting methods for process monitoring and improvement and a historical perspective and ideas for future research are given.
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An overview of theory and practice on process capability indices for quality assurance

TL;DR: This paper investigates the behavior of the actual process yield, in terms of the number of non-conformities (in ppm), for processes with fixed index values of Cpk=CPM=Cpmk, possessing different degrees of process centering.
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A review of methods for measurement systems capability analysis

TL;DR: Computations for the standard two-factor design are demonstrated, aspects of designing the experiment are described, and references are provided for situations where the standardTwo-Factor design is not applicable.
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Effect of Measurement Error on Shewhart Control Charts

TL;DR: Significant measurement error often exists in quality control applications as mentioned in this paper, which is known to result in reduced power to detect a given change in the mean or variance of a quality chara...
References
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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.
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Linear Models

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