{"product_id":"statistical-methods-for-six-sigma-9780471203421","title":"Statistical Methods for Six SIGMA","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"I highly recommend this book to anyone interested in applying statistics to solve problems.\" (\u003ci\u003eJournal of Food Quality\u003c\/i\u003e, October 2004)  \u003cp\u003e\"…an interesting collection of material in nice summary form…\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, December 2004)\u003c\/p\u003e \u003cp\u003e\"Overall, \u003ci\u003eStatistical Methods for Six Sigma in R \u0026amp; D and Manufacturing\u003c\/i\u003eoffers some good insights and practical views of the statistical concepts covered.\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, August 2004, Vol. 46, No. 3)\u003c\/p\u003e \u003cp\u003e\"...covers a large number of useful statistical methods compactly...contains a wealth of case studies and examples...\" (\u003ci\u003eFood Trade Review\u003c\/i\u003e, May 2004)\u003c\/p\u003e \u003cp\u003e“...can be used as a reference or as a self-study...also as a textbook for an engineering statistics course...recommended...” (\u003ci\u003eE-Streams\u003c\/i\u003e, Vol. 7, No. 3)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.  \u003cp\u003e2. Basic Statistics.\u003c\/p\u003e \u003cp\u003e2.1 Descriptive Statistics.\u003c\/p\u003e \u003cp\u003e2.2 Statistical Distributions.\u003c\/p\u003e \u003cp\u003e2.3 Confidence Intervals.\u003c\/p\u003e \u003cp\u003e2.4 Sample Size.\u003c\/p\u003e \u003cp\u003e2.5  Tolerance Intervals.\u003c\/p\u003e \u003cp\u003e2.6 Normality, Independence and Homoscedasticity.\u003c\/p\u003e \u003cp\u003e3. Comparative Experiments and Regression Analysis.\u003c\/p\u003e \u003cp\u003e3.1 Hypothesis Testing Framework.\u003c\/p\u003e \u003cp\u003e3.2 Comparing Single Population.\u003c\/p\u003e \u003cp\u003e3.3 Comparing Two Populations.\u003c\/p\u003e \u003cp\u003e3.4 Comparing Multiple Populations.\u003c\/p\u003e \u003cp\u003e3.5 Correlation.\u003c\/p\u003e \u003cp\u003e3.6 Regression Analysis.\u003c\/p\u003e \u003cp\u003e4. Control Charts.\u003c\/p\u003e \u003cp\u003e4.1 Role of Control Charts.\u003c\/p\u003e \u003cp\u003e4.2 Logic of Control Limits.\u003c\/p\u003e \u003cp\u003e4.3 Variable Control Charts.\u003c\/p\u003e \u003cp\u003e4.4 Attribute Control Charts.\u003c\/p\u003e \u003cp\u003e4.5 Interpreting Control Charts.\u003c\/p\u003e \u003cp\u003e4.6 Key Success Factors.\u003c\/p\u003e \u003cp\u003e5. Process Capability.\u003c\/p\u003e \u003cp\u003e5.1 Capability and Performance Indices.\u003c\/p\u003e \u003cp\u003e5.2 E stimating Capability and Performance Indices.\u003c\/p\u003e \u003cp\u003e5.3 Six-Sigma Goal.\u003c\/p\u003e \u003cp\u003e5.4 Planning for Improvement.\u003c\/p\u003e \u003cp\u003e6. Other Useful Charts.\u003c\/p\u003e \u003cp\u003e6.1 Risk-based Control Ch arts.\u003c\/p\u003e \u003cp\u003e6.2 Modified Control Limit   Chart.\u003c\/p\u003e \u003cp\u003e6.3 Moving Average Control Chart.\u003c\/p\u003e \u003cp\u003e6.4 Short Run Control Charts\u003c\/p\u003e \u003cp\u003e6.5 Charts for Non-Normal Distributions.\u003c\/p\u003e \u003cp\u003e7. Variance Components Analysis.\u003c\/p\u003e \u003cp\u003e7.1   Chart (Random Factor).\u003c\/p\u003e \u003cp\u003e7.2 One-way Classification (Fixed Factor).\u003c\/p\u003e \u003cp\u003e7.3 Structured Studies and Variance Components.\u003c\/p\u003e \u003cp\u003e8. Quality Planning with Variance Components.\u003c\/p\u003e \u003cp\u003e8.1 Typical Manufacturing Application.\u003c\/p\u003e \u003cp\u003e8.2 Economic Loss Functions.\u003c\/p\u003e \u003cp\u003e8.3 Planning for Quality Improvement.\u003c\/p\u003e \u003cp\u003e8.4 Application to Multi-Lane Manufacturing Process.\u003c\/p\u003e \u003cp\u003e8.5 Variance Transmission Analysis.\u003c\/p\u003e \u003cp\u003e8.6 Application to a Factorial Design.\u003c\/p\u003e \u003cp\u003e8.7 Variance Components and Specifications.\u003c\/p\u003e \u003cp\u003e9. Measurement Systems Analysis.\u003c\/p\u003e \u003cp\u003e9.1 Statistical Properties of Measurement Systems.\u003c\/p\u003e \u003cp\u003e9.2 Acceptance Criteria.\u003c\/p\u003e \u003cp\u003e9.3 Calibration Study.\u003c\/p\u003e \u003cp\u003e9.4 Stability and Bias Study.\u003c\/p\u003e \u003cp\u003e9.5 Repeatability and Reproducibility (R\u0026amp;R) Study.\u003c\/p\u003e \u003cp\u003e9.6 Robustness and Intermediate Precision Studies.\u003c\/p\u003e \u003cp\u003e9.7 Linearity Study.\u003c\/p\u003e \u003cp\u003e9.8 Method Transfer Study.\u003c\/p\u003e \u003cp\u003e9.9 Calculating Significant Figures.\u003c\/p\u003e \u003cp\u003e10. What Color is Your Belt?\u003c\/p\u003e \u003cp\u003e10.1 Test.\u003c\/p\u003e \u003cp\u003e10.2 Answers.\u003c\/p\u003e \u003cp\u003eAppendix A: Tail Area of Unit Normal Distribution.\u003c\/p\u003e \u003cp\u003eAppendix B: Probability Points of the \u003ci\u003et\u003c\/i\u003e Distribution with \u003ci\u003ev\u003c\/i\u003e Degrees of Freedom.\u003c\/p\u003e \u003cp\u003eAppendix C: Probability Points of the \u003ci\u003ex\u003csup\u003e2\u003c\/sup\u003e\u003c\/i\u003e Distribution with \u003ci\u003ev\u003c\/i\u003e Degrees of Freedom.\u003c\/p\u003e \u003cp\u003eAppendix D1.\u003ci\u003ek \u003c\/i\u003e Values for Two-Sided Normal Tolerance Limits.\u003c\/p\u003e \u003cp\u003eAppendix D2.\u003ci\u003ek \u003c\/i\u003e Values for One-Sided Normal Tolerance Limits.\u003c\/p\u003e \u003cp\u003eAppendix E1: Percentage Points of the \u003ci\u003eF\u003c\/i\u003e Distribution: Upper 5% Points.\u003c\/p\u003e \u003cp\u003eAppendix E2: Percentage Points of the \u003ci\u003eF\u003c\/i\u003e Distribution: Upper 2.5% Points.\u003c\/p\u003e \u003cp\u003eAppendix F: Critical Values of Hartley's Maximum F Ratio Test for Homogeneity of Variances.\u003c\/p\u003e \u003cp\u003eAppendix G: Table of Control Chart Constants.\u003c\/p\u003e \u003cp\u003eGlossary Of Symbols.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402526171479,"sku":"9780471203421","price":123.26,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471203421.jpg?v=1730480670","url":"https:\/\/bookcurl.com\/products\/statistical-methods-for-six-sigma-9780471203421","provider":"Book Curl","version":"1.0","type":"link"}