Applied Data Analysis for Process Improvement : A Practical Guide to Six Sigma Black Belt Statistics.
Material type: TextPublisher: Milwaukee : ASQ Quality Press, 2004Copyright date: ©2005Description: 1 online resource (303 pages)Content type: text Media type: computer Carrier type: online resourceISBN: Subject(s): Quality control -- Statistical methods | Six sigma (Quality control standard)Genre/Form: Electronic books.Additional physical formats: Print version:: Applied Data Analysis for Process Improvement : A Practical Guide to Six Sigma Black Belt StatisticsDDC classification: 658.4/013 LOC classification: TS156 -- .L3196 2005ebOnline resources: Click to ViewIntro -- Contents -- Figures and Tables -- Preface -- PART I Applied Data Analysis -- 1 Intuitive Statistics: The Values of Graphs for Decision Making -- 2 Frequency Distributions -- 3 Statistical Inference -- 4 Design of Experiments -- 5 Factorial Designs and Fractional Factorial Designs -- 6 Regression Analysis -- 7 Response Surfaces -- Part II The DMAIC Methodology -- 8 On Problem Definition -- 9 Case Study -- Appendix A Latin Square -- Appendix B Design Matrix for 24-1 and 25-1 25-2 and 27-3 (Half Fractions) -- Appendix C Regression Analysis of Data Analyzed in Section 5.5 -- Appendix D Response Surface Regression: S, H, Br versus A, D, F, Box-Behnken from Chapter 7 -- Annotated Bibliography -- Index.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
There are no comments on this title.