Statistical Modeling Simulation Experimental (39 results)
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Condition: New. Develops the application of experimental statistical designs and analysis to discrete-event simulation modelling. The stages and steps for applying simulation are discussed by focusing on the role of statistics. Using the statistical techniques discussed, a sound simulation model can be built. Num Pages: 224 page…s, black & white illustrations. BIC Classification: PBK; PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 171 x 240 x 18. Weight in Grams: 464. . 1993. Hardback. . . . .
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Condition: New. Develops the application of experimental statistical designs and analysis to discrete-event simulation modelling. The stages and steps for applying simulation are discussed by focusing on the role of statistics. Using the statistical techniques discussed, a sound simulation model can be built. Num Pages: 224 page…s, black & white illustrations. BIC Classification: PBK; PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 171 x 240 x 18. Weight in Grams: 464. . 1993. Hardback. . . . . Books ship from the US and Ireland.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory,… inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2¿6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
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Taschenbuch. Condition: Neu. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications | Selected Contributions from SimStat 2019 and Invited Papers | Jürgen Pilz (u. a.) | Taschenbuch | x | Englisch | 2024 | Springer | EAN 9783031400575 | Verantwortliche Person für die EU: Springer Verlag Gmb…H, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2024
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, a…nd the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2-6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2023
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the…interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2-6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications: Selected Contributions from SimStat 2019 and Invited Papers
Pilz, Jürgen (Edited by)/ Melas, Viatcheslav B. (Edited by)/ Bathke, Arne (Edited by)
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Hardcover. Condition: gut. 2023. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications In deutscher Sprache. pages.
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Hardcover. Condition: new. Hardcover. This unique book develops the application of experimental statistical designs and analysis to discrete-event simulation modeling. It takes a practical perspective and orients the reader with examples of the role of simulation in modeling a system. The stages and steps for applying simulation… are discussed by focusing on the important role of statistics. Examples are given about how to design an experiment using techniques such as classical designs, group screening, polynomial decomposition, and Taguchi designs. Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation.The book also shows how simulation results can be generalized by discussing in full the growing emphasis on simulation metamodeling. Examples of this approach are presented to show that reliable and simple models could be easily obtained. Furthermore, such models are applied within a decision framework to optimize the system of interest. This expands the power of simulation from being purely descriptive of the system to being a prescriptive model. The reader is exposed to potential problems and how such problems may be harnessed. Although the book discusses statistical techniques, it is written so as to be comprehensible to anyone with a basic background in statistics. The book is a good resource for consultants and simulation practitioners; it can also be used as a textbook for classes in simulation. Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation.The book also shows how simulation results can be generalized by discussing in full the growing emphasis on simulation metamodeling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condition: new. Hardcover. This unique book develops the application of experimental statistical designs and analysis to discrete-event simulation modeling. It takes a practical perspective and orients the reader with examples of the role of simulation in modeling a system. The stages and steps for applying simulation… are discussed by focusing on the important role of statistics. Examples are given about how to design an experiment using techniques such as classical designs, group screening, polynomial decomposition, and Taguchi designs. Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation.The book also shows how simulation results can be generalized by discussing in full the growing emphasis on simulation metamodeling. Examples of this approach are presented to show that reliable and simple models could be easily obtained. Furthermore, such models are applied within a decision framework to optimize the system of interest. This expands the power of simulation from being purely descriptive of the system to being a prescriptive model. The reader is exposed to potential problems and how such problems may be harnessed. Although the book discusses statistical techniques, it is written so as to be comprehensible to anyone with a basic background in statistics. The book is a good resource for consultants and simulation practitioners; it can also be used as a textbook for classes in simulation. Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation.The book also shows how simulation results can be generalized by discussing in full the growing emphasis on simulation metamodeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation. The book also shows how simulation results can be generalized by discussing in full the gr…owing emphasis on simulation metamodel.
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Buch. Condition: Neu. Experimental Statistical Designs and Analysis in Simulation Modeling | Christian N. Madu (u. a.) | Buch | Gebunden | Englisch | 1993 | Praeger | EAN 9780899306957 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This unique book develops the application of experimental statistical designs and analysis to discrete-event simulation modeling. It takes a practical perspective and orients the reader with examples of the role of simulation in modeling a syst…em. The stages and steps for applying simulation are discussed by focusing on the important role of statistics. Examples are given about how to design an experiment using techniques such as classical designs, group screening, polynomial decomposition, and Taguchi designs. Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation.The book also shows how simulation results can be generalized by discussing in full the growing emphasis on simulation metamodeling. Examples of this approach are presented to show that reliable and simple models could be easily obtained. Furthermore, such models are applied within a decision framework to optimize the system of interest. This expands the power of simulation from being purely descriptive of the system to being a prescriptive model. The reader is exposed to potential problems and how such problems may be harnessed. Although the book discusses statistical techniques, it is written so as to be comprehensible to anyone with a basic background in statistics. The book is a good resource for consultants and simulation practitioners; it can also be used as a textbook for classes in simulation.
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