Statistical analysis continuous data (7 Ergebnisse)
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Hardcover. Zustand: 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-engineer…ing, 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. Zustand: Neu. Statistical Analysis of Continuous Data Streams Using DSMS | Mining of Data Streams | Nadeem Akhtar (u. a.) | Taschenbuch | 88 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846545201 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück,…mail[at]preigu[dot]de | Anbieter: preigu.
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Hardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis diffic…ult and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. Data Stream Management Systems are specifically designed for handling continuous data streams. They can handle multiple, time-varying, unpredictable and unbounded streams which cannot be handled using traditional tools. In this work, we have used a Data Stream Management System- Stanford STREAM in three different application domain namely Road Traffic analysis, Habitat Monitoring analysis and Network Packet analysis. We have also used another DSMS, telegraphCQ, coupled with jamdroid, an open source road traffic analysis system, for mining road traffic data. 88 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akhtar NadeemNadeem Akhtar received his B. Tech and M.Tech degree in Computer Science from Aligarh Muslim University, Aligarh, India. He is currently working as Assistant Professor in the department of Co…mputer Engineering, Aligarh M.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult…and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. Data Stream Management Systems are specifically designed for handling continuous data streams. They can handle multiple, time-varying, unpredictable and unbounded streams which cannot be handled using traditional tools. In this work, we have used a Data Stream Management System- Stanford STREAM in three different application domain namely Road Traffic analysis, Habitat Monitoring analysis and Network Packet analysis. We have also used another DSMS, telegraphCQ, coupled with jamdroid, an open source road traffic analysis system, for mining road traffic data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult a…nd opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. Data Stream Management Systems are specifically designed for handling continuous data streams. They can handle multiple, time-varying, unpredictable and unbounded streams which cannot be handled using traditional tools. In this work, we have used a Data Stream Management System- Stanford STREAM in three different application domain namely Road Traffic analysis, Habitat Monitoring analysis and Network Packet analysis. We have also used another DSMS, telegraphCQ, coupled with jamdroid, an open source road traffic analysis system, for mining road traffic data.
