Design and Analysis of Simulation Experiments

Viatcheslav B. Melas

ISBN 10: 0792336623 / ISBN 13: 9780792336624

Verlag: Springer Netherlands, Springer Netherlands Jul 1995, 1995

Beschreibung

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.

Bestandsnummer des Verkäufers 9780792336624

Bibliografische Details

• Titel: Design and Analysis of Simulation Experiments
• Verlag: Springer Netherlands, Springer Netherlands Jul 1995
• Erscheinungsjahr: 1995
• Sprache: Englisch
• ISBN-10: 0792336623
• ISBN-13: 9780792336624
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.