Application Statistical Techniques Methods by Huang Hong (1 results)
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paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2006-01-01 Pages: 253 Publisher: National Defence Industry Press title: the original price of the application of statistical techniques and methods in quality management: 28 Auth…or: Mr Andrew l ed Publisher: National Defense Industry Publishing House Date :2006-1-1 0:00:00 ISBN: 9787118047950 word count: 376.000 yards: 253 Edition: 1 Binding: Paperback: Weight: Editor's Summary With the accelerated pace of modernization of quality management. statistical techniques in many countries especially in the industrial sector in developed countries. the economic circles are widely used. The statistical method has become one of the tools of business management and quality management. quality management system standards - ISO 9000 family of standards is more urgent requirements of statistical techniques. Book to apply statistical techniques to solve practical problems concerns the common quality management tools. questionnaire. stratification. Pareto charts. cause and effect diagrams. histograms. transition diagram countermeasures tables. flow charts. control charts. spread Figure; innovative tools of quality management. such as a tree diagram. affinity diagram. matrix diagrams. process decision program chart. brainstorming method. the level of contrast; statistical analysis methods. such as statistical process control. hypothesis testing. analysis of variance. regression analysis. experimental design. measurement systems analysis. measurement uncertainty and sampling. has a strong practical function. but also easy to learn. This book can be used as a reference of technical personnel engaged in quality management and quality and technical workers have some work experience. self-Reading and books. but also can be used as institutions of higher learning. vocational and technical schools quality management professional elective textbooks. Statistical quality management ideas and methods of Contents Chapter of the basic concepts of quality management and statistical knowledge base of the first quality management the second quality management of the development process of Section III Section IV basics of statistical techniques commonly used quality management tool first Section III of a questionnaire. sect hierarchical method Pareto charts the fourth quarter causality diagram Section V histogram Section VI transition diagram in section VII countermeasures table in section VIII of flowchart Chapter statistical process control section I of the process the basics of Section II statistical process control chart control Introduction Section III Section IV control charts of the application control charts in statistical process control in section V on the analysis of the process of change in the Section 6 process capability in section VII of the basic concepts and calculations process capability evaluation Chapter Chapter hypothesis testing analysis of variance to Chapter VI Section 1 scatter chart scatter plot and regression analysis section II. Section I of Chapter VII of the experimental design of the regression analysis to test the basic concept of the design section II trial of Design and Analysis of Section II of Chapter VIII of the Quality Management the innovative tools Section 1 tree diagram pro and Figure Section III the diagram section IV matrix Section V process decision program charts section VII. section VI of the analytical method of matrix data network Figure Section VIII contrast level of brainstorming Law Section IX Chapter Measurement Systems Analysis Section 1 measurement system analysis of the basic concepts of the application of Section II measurement system analysis Chapter Section 1 the basic concepts of measurement uncertainty Section II. Section III of the sources of measurement uncertainty Measurement Uncertainty Evaluation Section IV Application examples sampling of Chapter XI Section 1 Introductio.
