Functional analysis probability (107 résultats)

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Hardcover. Etat : gut. 1999. Technik Maschinenbau Wirtschaft Betriebswirtschaft Management Logistik Produktion Statistical methods have been used by businesses for decades in order to improve the quality of their products and processes. One of the most important developments in orchestrating process improvement and re-engineering, is the application of statistical techniques grouped under the heading of "Six Sigma". Six Sigma is a statistical range measurement of an acceptably small number of defects in a given situation. Statistical tools are used both to compute this range and to control the numbers of defects. Focusing on the most topical statistical technique for quality improvement, this edition features revised presentation of material to highlight the most appropriate statistical tools. New tools have also been added in addition to revised examples and exercises. A must for any orangization interested in integrating the Six Sigma approach into their business strategy." Janice E. Shade Kraft, NA Book Description Six Sigma is a powerful set of statistical quality improvement techniques that--if implemented wisely--can have huge benefits for the bottom line. This book demystifies Six Sigma methods for today's users, explaining essential statistical techniques and tools for manufacturing, development, service, and test organizations, and offering invaluable guidance on how to choose and use these tools effectively. I am with the General Electric Company. We at GE have made Six Sigma part of our culture and a way of doing business. I am GE Six Sigma Black Belt Trained, Green Belt certified and am adjunct assistant professor of mathematics at Quinnipiac College (Hamden, CT) teaching probability & statistics. I have found the book "Implementing Six Sigma: Smarter Solutions Using Statistical Methods" to be the best collection in one place that I have ever seen on Six Sigma since my involvement with it over the past four years. It is easy to read/understand, etc., and I recommend businesses, individuals, statistician, college professors, professional groups, etc., get a copy of the book. Also, if you are already a six sigma company or thinking about becoming one and/or any MB, BB, GB, etc., I recommend that you get a copy of this book. It is a winner! winner! S4 DEPLOYMENT STRATEGY PHASE; Six Sigma Overview and Implementation; S4 MEASUREMENT PHASE; Basic Tools; Probability; Overview of Distributions and Statistical Processes; Basic Control Charts; Process Capability and Process Performance; S4 ANALYSIS PHASE; Visualization of Data; Comparison Tests: Continuous Response; Bootstrapping; Variance Components; S4 IMPROVEMENT PHASE; Benefiting from Design of Experiments (DOE); Variability Reduction Through DOE and Taguchi Considerations; S4 CONTROL PHASE; Other Control Charting Alternatives; Exponentially Weighted Moving Average (EWMA) and Engineering Process Control (EPC); Control Plan and Other Strategies; Pass/Fail Functional Testing; Appendices; List of Symbols; Glossary; References; Index. Implementing Six SIGMA: Statistical Methods for Testing, Development, Manufacturing and Service (Gebundene Ausgabe) von Forrest W. III Breyfogle Technik Maschinenbau Wirtschaft Betriebswirtschaft Management Logistik Produktion 0-471-29659-7 0471296597 ISBN-13 978-0-471-29659-1 9780471296591 In englischer Sprache. 832 pages. 24,3 x 16,6 x 4,4 cm.…

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at the interface between probability and functional analysis.The initial chapters provide a rigorous introduction to measure theory, with a special focus on probability spaces. Next, Lebesgue integration theory is developed in full detail covering the main methods and statements, followed by the important limit theorems of probability. Advanced limit theorems, such as the Berry-Esseen Theorem and Stein's method, are included. The final part of the book explores interactions between probability and functional analysis. It includes an introduction to Banach function spaces, such as Lorentz and Orlicz spaces, and to random variables with values in Banach spaces. The Itô-Nisio Theorem, the Strong Law of Large Numbers in Banach spaces, and the Bochner, Pettis, and Dunford integrals are presented. As an application, Brownian motion is rigorously constructed and investigated using Banach function space methods.Based on courses taught by the authors, this book can serve as the main text for a graduate-level course on probability, and each chapter contains a collection of exercises. The unique combination of probability and functional analysis, as well as the advanced and original topics included, will also appeal to researchers working in probability and related fields.…

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Paperback. Etat : New. This text is designed both for students of probability and stochastic processes, and for students of functional analysis. For the reader not familiar with functional analysis a detailed introduction to necessary notions and facts is provided. However, this is not a straight textbook in functional analysis; rather, it presents some chosen parts of functional analysis that can help understand ideas from probability and stochastic processes. The subjects range from basic Hilbert and Banach spaces, through weak topologies and Banach algebras, to the theory of semigroups of bounded linear operators. Numerous standard and non-standard examples and exercises make the book suitable as a course textbook or for self-study.…

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Etat : New. pp. xii + 393 Index 1st Published.

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