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Statistical Process Analysis [Kietas viršelis]

  • Formatas: Hardback, 768 pages, aukštis x plotis x storis: 233x190x32 mm, weight: 907 g, charts
  • Išleidimo metai: 17-Sep-1999
  • Leidėjas: McGraw-Hill Inc.,US
  • ISBN-10: 0256119392
  • ISBN-13: 9780256119398
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 768 pages, aukštis x plotis x storis: 233x190x32 mm, weight: 907 g, charts
  • Išleidimo metai: 17-Sep-1999
  • Leidėjas: McGraw-Hill Inc.,US
  • ISBN-10: 0256119392
  • ISBN-13: 9780256119398
Kitos knygos pagal šią temą:
A textbook for a graduate or undergraduate business course in quality or applied statistics. Students need no more mathematics than basic college algebra; and Alwan (business administration, U. of Wisconsin-Milwaukee) provides a self-contained introduction to statistical concepts and procedures for students new to them. He uses traditional statistical process control methods as a unifying theme, but also takes on a broader data analytic perspective highlighting the use of computing and incorporating real-world problems and actual process data. Annotation c. Book News, Inc., Portland, OR (booknews.com)

This text presents a comprehensive treatment of statistical process control methods; including unique modern data analysis techniques. Dr. Alwan is a leading figure in this discipline, he has written several papers on the subject and is seen as a pioneer of many "cutting edge" techniques. The text includes a brief history of the quality movement, a review of basic statistics, and then moves into a thorough coverage of control charts and other data analytic techniques for controlling and analyzing processes. Modern techniques are applied to a wealth of real data examples from manufacturing settings as well as services, and Minitab is used throughout the text for analysis. Each chapter includes detailed illustrative examples as well as a complete set of assignment problems.
Chapter 1: Data Analysis and Process ManagementChapter 2: A Review of Some Basic Statistical ConceptsChapter 3: Modeling Process DataChapter 4: Introduction to the Control Chart ConceptChapter 5: Monitoring Individual Variable MeasurementsChapter 6: Monitoring Subgroup Variable MeasurementsChapter 7: Monitoring Attribute DataChapter 8: Memory Control ChartsChapter 9: Process CapabilityChapter 10: Related Special Topics