Six Sigma Distribution Modeling
Andrew Sleeper - Collection Six Sigma Operational Methods
Résumé
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.
Sommaire
- Modeling Random Behavior with Probability Distributions
- Selecting Statistical Software Tools for Six Sigma Practitioners
- Applying Nonnormal Distribution Models in Six Sigma Projects
- Applying Distribution Models and Simulation in Six Sigma Projects
- Glossary of Terms
- Bernouli (Yes-No) Distribution Family
- Beta Distribution Family
- Binomial Distribution Family
- Chi-Squared Distribution Family
- Discrete Uniform Distribution Family
- Exponential Distribution Family
- Extreme Value (Gumbel) Distribution Family
- F Distribution Family
- Gamma Distribution Family
- Geometric Distribution Family
- Hypergeometric Distribution Family
- Laplace Distribution Family
- Logistic Distribution Family
- Logonormal Distribution Family
- Negative Binomial Distribution Family
- Normal (Gaussian) Distribution Family
- Pareto Distribution Family
- Poisson Distribution Family
- Rayleigh Distribution Family
- Student's Distribution Family
- Triangular Distribution Family
- Uniform Distribution Family
- Weibull Distribution Family
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Mc Graw Hill |
| Auteur(s) | Andrew Sleeper |
| Collection | Six Sigma Operational Methods |
| Parution | 05/02/2007 |
| Nb. de pages | 448 |
| Format | 16 x 23,5 |
| Couverture | Relié |
| Poids | 778g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780071482783 |
| ISBN13 | 978-0-07-148278-3 |
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