Design for Six Sigma Statistics, Chapter 8 - Detecting Changes in Discrete Data PDF Download

Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735704
Category : Business & Economics
Languages : en
Pages : 43

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Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735712
Category : Business & Economics
Languages : en
Pages : 61

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Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735690
Category : Business & Economics
Languages : en
Pages : 96

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Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071483020
Category : Business & Economics
Languages : en
Pages : 882

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Book Description
In today’s competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.

Author: Richard E. Hawkins
Publisher: Elsevier Health Sciences
ISBN: 0702070378
Category : Medical
Languages : en
Pages : 238

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Book Description
Developed by the American Medical Association’s Accelerating Change in Medical Education Consortium, Health Systems Science is the first text that focuses on providing a fundamental understanding of how health care is delivered, how health care professionals work together to deliver that care, and how the health system can improve patient care and health care delivery. Along with basic and clinical science, Health Systems Science (HSS) is rapidly becoming a crucial "third pillar" of medical science, requiring a practical, standardized curriculum with an emphasis on understanding the role of human factors, systems engineering, leadership, and patient improvement strategies that will help transform the future of health care and ensure greater patient safety. Complete coverage of the evolving field of HSS includes patient safety, quality improvement, evidence-based medicine, value in health care, interprofessional teamwork, stewardship of health care resources, population management, clinical informatics, care coordination, leadership, and health care financing/reform. Patient improvement strategies incorporates checklists, information technology, team training, and more. A consistent chapter template provides clear coverage of each topic, including Learning Objectives, Chapter Outline, Core Chapter Content, Summary, Questions for Reflection, and Annotated Bibliography and References. Highly relevant content applicable to today’s evolving health care delivery written by experts in key, emerging areas of HSS. Developed in partnership with the AMA’s Accelerating Change in Medical Education Consortium, at the forefront of change and innovation in medical education.

Author: Clyde M. Creveling
Publisher: Prentice Hall Professional
ISBN: 0132797240
Category : Technology & Engineering
Languages : en
Pages : 1170

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Book Description
This book addresses many new topical areas for the development of 6 Sigma performance. The text is structured to demonstrate how 6 Sigma methods can be used as a very powerful tool within System Engineering and integration evaluations to help enable the process of Critical Parameter Management. The case studies and examples used throughout the book come from recent successful applications of the material developed in the text.

Author: Abdurrahman Coskun
Publisher: BoD – Books on Demand
ISBN: 9533073705
Category : Business & Economics
Languages : en
Pages : 198

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Book Description
In the new millennium the increasing expectation of customers and products complexity has forced companies to find new solutions and better alternatives to improve the quality of their products. Lean and Six Sigma methodology provides the best solutions to many problems and can be used as an accelerator in industry, business and even health care sectors. Due to its flexible nature, the Lean and Six Sigma methodology was rapidly adopted by many top and even small companies. This book provides the necessary guidance for selecting, performing and evaluating various procedures of Lean and Six Sigma. In the book you will find personal experiences in the field of Lean and Six Sigma projects in business, industry and health sectors.

Author:
Publisher:
ISBN:
Category : Experimental design
Languages : en
Pages : 512

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Book Description

Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1439840954
Category : Mathematics
Languages : en
Pages : 677

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Book Description
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Author: Rick Wicklin
Publisher: SAS Institute
ISBN: 1612903320
Category : Computers
Languages : en
Pages : 363

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Book Description
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software. This book is part of the SAS Press program.