Six sigma distribution modeling / Andrew Sleeper.
Publisher: [S.l.] : McGraw-Hill Professional, 2006Edition: 1st edDescription: 448 p. ; 24 cmISBN: 0071482784 (hardcover); 9780071482783 (hardcover)DDC classification: 658.4013 Online resources: Amazon.com Summary: Sleeper provides six sigma practitioners with the tools which will allow them to stand out from your competitors by using advanced statistical and modeling tools for more in-depth analysis. Understanding and properly utilizing statistical data distributions is one of the most important and difficult skills for a six sigma practitioner to possess. Sleeper provides six sigma practitioners with a road map for selecting and using distributions for more precise outcomes. With the added value of Crystal Ball Modeling software, this book becomes a powerful tool for analyzing and modeling difficult data quickly and efficiently.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | 658.4013 SLE (Browse shelf) | Available | NBS8215 |
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| 658.4013 SAR The Managers' Handbook for Total Quality Management | 658.4013 SAR The mangers' handbook for total quality mangement. | 658.4013 SHA Quality Management Handbook | 658.4013 SLE Six sigma distribution modeling / | 658.4013 SOH Quality audit. | 658.4013 SOI Total quality essentials / | 658.4013 SUM Quality Management creating and sustaining organizational effectiveness |
Sleeper provides six sigma practitioners with the tools which will allow them to stand out from your competitors by using advanced statistical and modeling tools for more in-depth analysis. Understanding and properly utilizing statistical data distributions is one of the most important and difficult skills for a six sigma practitioner to possess. Sleeper provides six sigma practitioners with a road map for selecting and using distributions for more precise outcomes. With the added value of Crystal Ball Modeling software, this book becomes a powerful tool for analyzing and modeling difficult data quickly and efficiently.

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