Performance Evaluation Of Skewed Process Index Cpk Wv Under Gamma Distribution
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Performance Evaluation Of Skewed Process Index Cpk Wv Under Gamma Distribution
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Author :
language : en
Publisher:
Release Date : 2021
Performance Evaluation Of Skewed Process Index Cpk Wv Under Gamma Distribution written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Performance Evaluation Of Skewed Process Capability Index Cs Under Lognormal Distribution
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Author :
language : en
Publisher:
Release Date : 2021
Performance Evaluation Of Skewed Process Capability Index Cs Under Lognormal Distribution written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Process Capability Indices
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Author : Samuel Kotz
language : en
Publisher: CRC Press
Release Date : 1993-06-01
Process Capability Indices written by Samuel Kotz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-06-01 with Business & Economics categories.
A solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.
Performance Evaluation Of Non Normal Process Capability Index Cnpk Under Lognormal Distribution
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Author :
language : en
Publisher:
Release Date : 2021
Performance Evaluation Of Non Normal Process Capability Index Cnpk Under Lognormal Distribution written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Process Capability Evaluation For Square Bumps With Mean Shift
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Author : W. L. Pearn
language : en
Publisher:
Release Date : 2011
Process Capability Evaluation For Square Bumps With Mean Shift written by W. L. Pearn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Chi-square test categories.
Process capability indices have been widely used in manufacturing industries to provide numerical measures of process potential and performance. In in-plant applications, some inevitable process mean shift may be undetected when the statistical process control charts are applied, particularly, in the bumping process for square bumps. Bothe in 2002 provided a statistical reason for considering such a shift in the process mean to accommodate the undetected mean shifts for normally distributed processes when evaluating process capability. In this paper, we consider a bumping process for square bumps in which the data can be formulated as a non-central chi-square distribution, a class of non-normal distributions. To evaluate the popular yield-based process capability Cpk more accurately, we accommodate the magnitudes of undetected mean shifts using the modified capability evaluation formula and tabulate the detection powers under various subgroup sizes and non-central chi-square parameters. Based on the modified process capability evaluation, we can provide a more reliable process capability evaluation of capability index Cpk for square bumps and make more correct decisions. For illustration purpose, a real application in a bumping factory which is located on the Science-based Industrial Park in Hsinchu, Taiwan, is presented.
Estimation Of A Modified Capability Index For Non Normal Distributions
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Author : W. L. Pearn
language : en
Publisher:
Release Date : 2016
Estimation Of A Modified Capability Index For Non Normal Distributions written by W. L. Pearn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Curve fitting categories.
Process capability indices (PCIs), which are very important in quality control have been one of a numerical measure index in manufacturing processes. Index Cpk is the most popular one used in the manufacturing industry. It is applied under the assumption that the processes are normally distributed. In real-world applications, non-normal processes may occur in industries, and the index CNpk has been proposed for non-normal processes in which its exact sampling distribution is mathematically intractable. Quality practitioners commonly use the existing NCPPM (non-conformities in parts per million) table of Cpk to obtain process yields. However, the table could not be applied directly via the value of index CNpk. For the consistency of NCPPM mapping, we propose procedures to obtain the modified index C*Npk and its approximately unbiased estimator C?*Npk for three non-normal distributions, involving Log-normal, Gamma, and Weibull distributions. The values of modified index C*Npk could be used to inquire the existing popular NCPPM table of Cpk. In addition, four bootstrap methods were used to construct the lower confidence bounds of the index C*Npk, which are useful to the practitioners for making reliable decisions regarding process performance based on process yield.
Performance Analysis Of The Approximately Unbiased Estimator Of Process Capability Index Cpk
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Author :
language : en
Publisher:
Release Date : 2018
Performance Analysis Of The Approximately Unbiased Estimator Of Process Capability Index Cpk written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Performance Analysis Of The Approximately Unbiased Estimator Of Process Capability Index Cpk
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Author :
language : en
Publisher:
Release Date : 2018
Performance Analysis Of The Approximately Unbiased Estimator Of Process Capability Index Cpk written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Practical Fermentation Technology
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Author : Brian McNeil
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Practical Fermentation Technology written by Brian McNeil and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Science categories.
A hands-on book which begins by setting the context;- defining 'fermentation' and the possible uses of fermenters, and setting the scope for the book. It then proceeds in a methodical manner to cover the equipment for research scale fermentation labs, the different types of fermenters available, their uses and modes of operation. Once the lab is equipped, the issues of fermentation media, preservation strains and strain improvement strategies are documented, along with the use of mathematical modelling as a method for prediction and control. Broader questions such as scale-up and scale down, process monitoring and data logging and acquisition are discussed before separate chapters on animal cell culture systems and plant cell culture systems. The final chapter documents the way forward for fermenters and how they can be used for non-manufacturing purposes. A glossary of terms at the back of the book (along with a subject index) will prove invaluable for quick reference.Edited by academic consultants who have years of experience in fermentation technology, each chapter is authored by experts from both industry and academia. Industry authors come from GSK (UK), DSM (Netherlands), Eli Lilly (USA) and Broadley James (UK-USA).
An Introduction To Bootstrap Methods With Applications To R
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Author : Michael R. Chernick
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-21
An Introduction To Bootstrap Methods With Applications To R written by Michael R. Chernick and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Mathematics categories.
A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.