Simulation ​Modeling and Analysis 0 csillagozás

Averill M. Law – W. David Kelton: Simulation Modeling and Analysis

The ​goal of Simulation Modeling and Analysis is to give an up-to-date treatment of all the important aspects of a simulation study, including modeling, simulation languages, validation, and output data analysis. In addition, we have tried to present the material in a manner understandable to a person having only a basic familiarity with probability, statistics, and computer programming. The book does not sacrifice statistical correctness for expository convenience, but contains virtually no theorems or proofs. Technically difficult topics are placed in starred (*) sections or in an appendix to an appropriate
chapter, and left for the advanced reader. (More difficult problems are also starred.) The book strives to motivate intuition about difficult topics and contains a large number of examples, figures, problems, and references for further study. There is also a solutions..manual for instructors. We feel that two of the book's major strengths are its treatment of modeling… (tovább)

>!
McGraw-Hill, New York, 1991
760 oldal · keménytáblás · ISBN: 0070366985

Hasonló könyvek címkék alapján

Mark S. Gockenbach: Understanding and Implementing the Finite Element Method
Christopher Gandrud: Reproducible Research with R and RStudio
Stef van Buuren: Flexible Imputation of Missing Data
Geert Verbeke – Geert Molenberghs: Linear Mixed Models for Longitudinal Data
Geert Verbeke – Geert Molenberghs: Linear Mixed Models In Practice
Richard McElreath: Statistical Rethinking
Jeroen Janssens: Data Science at the Command Line
Laura M. Chihara – Tim C. Hesterberg: Mathematical Statistics with Resampling and R
Sal Mangano: Mathematica Cookbook
Matt Parker: Humble Pi