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Titlebook: Quality Improvement Through Statistical Methods; Bovas Abraham Book 1998 Birkhäuser Boston 1998 Applied Statistics.Quality Control Enginee

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https://doi.org/10.1007/978-1-4612-1776-3Applied Statistics; Quality Control Engineering; approximation; control engineering; function; optimizati
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An Application of Filtering to Statistical Process Control the process is available, procedures based on the `optimal’ [Godambe (1985)] smoother can be superior to the classical procedures like Shewhart and CUSUM control charts We also discuss the relationship among EWMA, Kalman filtering and the `optimal’ smoother. This smoother and its applications are also illustrated through an example.
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Statistical Process Control and Its Applications in Korean Industriesxplained, and the steps for continuous improvement effort are described. Also the flow of an SPC system and a flow-chart of problem-solving in this system are sketched with figures and explained. Korean experience in industry for SPC is illustrated with a real case study.
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Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristicsistributed normal variables. Confidence intervals for the Taguchi process capability index, commonly denoted .., is derived in this paper when consecutive measurements are observations of dependent variables according to a Markov process in discrete time.
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