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Ajouter au panierHardcover. Etat : Wie neu. 234 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 650.
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Ajouter au panier26 ills. XIII, 216 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. International Series in Operations Research & Management Science, Vol. 111. Sprache: Englisch.
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Ajouter au panierPaperback. Etat : Brand New. 212 pages. 9.25x6.10x0.48 inches. In Stock.
Langue: anglais
Edité par Springer International Publishing, 2016
ISBN 10 : 3319330713 ISBN 13 : 9783319330716
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Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Design and Analysis of Simulation Experiments | S. M. Ermakov (u. a.) | Taschenbuch | vii | Englisch | 2010 | Springer | EAN 9789048146048 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierTaschenbuch. Etat : Neu. Design and Analysis of Simulation Experiments | Jack P. C. Kleijnen | Taschenbuch | xiv | Englisch | 2010 | Springer | EAN 9781441944153 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierEtat : New. pp. 318.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to a new branch of experimental design theory called simulation experimental design. There are many books devoted either to the theory of experimental design or to system simulation techniques, but in this book an approach to combine both fields is developed. Especially the mathematical theory of such universal variance reduction techniques as splitting and Russian Roulette is explored. The book contains a number of results on regression design theory related to nonlinear problems, the E-optimum criterion and designs which minimize bias. Audience: This volume will be of value to readers interested in systems simulation, applied statistics and numerical methods with basic knowledge of applied statistics and linear algebra.
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Ajouter au panierEtat : New. pp. 322.
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to a new branch of experimental design theory called simulation experimental design. There are many books devoted either to the theory of experimental design or to system simulation techniques, but in this book an approach to combine both fields is developed. Especially the mathematical theory of such universal variance reduction techniques as splitting and Russian Roulette is explored. The book contains a number of results on regression design theory related to nonlinear problems, the E-optimum criterion and designs which minimize bias. Audience: This volume will be of value to readers interested in systems simulation, applied statistics and numerical methods with basic knowledge of applied statistics and linear algebra.
Langue: anglais
Edité par Springer US, Springer US, 2010
ISBN 10 : 144194415X ISBN 13 : 9781441944153
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Simulation is a widely used methodology in all the Applied Science disciplines. It provides a flexible, powerful and intuitive tool for investigating how to design a process or system, and how to maximize its efficiency. Simulation's effectiveness depends greatly on how well the simulation experiments are designed and analyzed. Design and Analysis of Simulation Experiments will focus on this crucial phase in the overall process of applying simulation. The book will include the best of both classic and modern methods of simulation experimentation, and as a result, it will provide a state-of-the-art treatment of the topic. This book will be the standard reference book on the topic for both researchers and sophisticated practitioners in the area, and it will be used as a textbook in courses or seminars focusing on this topic.
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Ajouter au panierEtat : New. In.
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Ajouter au panierTaschenbuch. Etat : Neu. Design and Analysis of Simulation Experiments | Jack P. C. Kleijnen | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783319330716 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierHardcover. Etat : Brand New. 2nd edition. 340 pages. 9.25x6.50x1.00 inches. In Stock.
Langue: anglais
Edité par Springer, Palgrave Macmillan, 2016
ISBN 10 : 3319330713 ISBN 13 : 9783319330716
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a new edition of Kleijnen's advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). Altogether, this new edition has approximately 50% new material not in the original book. More specifically, the author has made significant changes to the book's organization, including placing the chapter on Screening Designs immediately after the chapters on Classic Designs, and reversing the order of the chapters on Simulation Optimization and Kriging Metamodels. The latter two chapters reflect how active the research has been in these areas.The validation section has been moved into the chapter on Classic Assumptions versus Simulation Practice, and the chapter on Screening now has a section on selecting the number of replications in sequential bifurcation through Wald's sequential probability ration test, as well as a section on sequential bifurcation for multiple types of simulation responses. Whereas all references in the original edition were placed at the end of the book, in this edition references are placed at the end of each chapter.From Reviews of the First Edition:'Jack Kleijnen has once again produced a cutting-edge approach to the design and analysis of simulation experiments.' (William E. BILES, JASA, June 2009, Vol. 104, No. 486).