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Rating: ![5 stars](http://www.reviewfocus.com/images/stars-5-0.gif) Summary: Read it if you need to write your first simulation program Review: Before reading this book I didn't have a clue about simulation modeling, but after reading the first few chapters I was able to write my first simulation program in C++. Although authors use C language and global data for simulation state, you can easily apply the concept of simulation state to any object-oriented language and replace global simulation state with object state.
Rating: ![4 stars](http://www.reviewfocus.com/images/stars-4-0.gif) Summary: A useful reference Review: Purchased this book in 1994 when spreadsheet modeling was no longer sufficient. This book gives a good top down view of what's involved in getting mathematically correct results (called verification, ensuring that the problem is being solved correctly). I found particularly useful the sections on variance reduction and output data reduction techniques. Validation (ensuring that the correct problem is being solved) is still the modelers job.People with technical (mathematical) backgrounds should find this book relatively easy reading. Non-technical (management) types will get bogged down in the first chapter. As in so many things, the devil's in the (mathematical) details. I basically used the book as a guide to writing an OO-based simulation tool (I ignored most of the included code examples), successfully implementing many of the techniques therein suggested. Where there wasn't sufficient detail, I found references to be sufficient. I still use the text as a reference.
Rating: ![5 stars](http://www.reviewfocus.com/images/stars-5-0.gif) Summary: UJVAL REVIEW Review: the book is extremely lucid and informative.
Rating: ![5 stars](http://www.reviewfocus.com/images/stars-5-0.gif) Summary: Bible for Simulation Review: There are other books for giving you the simulation techniques and languages but to know the theory and statistics of simulation this is THE book.It startes with basics of statisstics and deals everthing you need to know about simulation. At some point you will start wondering how the authors could give so much information in just one book and lose lots of royalty money on the succeeding books.
Rating: ![5 stars](http://www.reviewfocus.com/images/stars-5-0.gif) Summary: Better understanding, rather than point and click Review: This book is the ground foundation of simulation modeling. Currently, only few books in simulation will spend pages and time, dedicated to the theoretical issues as good as this book. If you're tired of point-and-click or "how-to making one server queueing system" and you want to know the fundamental of simulation, you can't overlook this piece of jewel. I don't agree with one review that you have to understand statistics in order to get this book. Simulation is a probabilistic model. Using simulation without understanding statistics results in serious trouble since it will be only a toy (data), not a tool (information.
Rating: ![5 stars](http://www.reviewfocus.com/images/stars-5-0.gif) Summary: Better understanding, rather than point and click Review: This book is the ground foundation of simulation modeling. Currently, only few books in simulation will spend pages and time, dedicated to the theoretical issues as good as this book. If you're tired of point-and-click or "how-to making one server queueing system" and you want to know the fundamental of simulation, you can't overlook this piece of jewel. I don't agree with one review that you have to understand statistics in order to get this book. Simulation is a probabilistic model. Using simulation without understanding statistics results in serious trouble since it will be only a toy (data), not a tool (information.
Rating: ![5 stars](http://www.reviewfocus.com/images/stars-5-0.gif) Summary: A must read for anyone interested in simulation Review: This is must read for simulation. It covers the background required for anyone to work on simulation and modeling. Its chapters about random-number generators, selecting right probability distributions and its parameters, output data analysis or variance reduction techniques are a must for anyone in this area. The treatment is easy to read but without sacrificing rigour. Nevertheless, a basic knowledge on statistics and probability is required. On the other hand, its chapters about modeling performed on fortran, C or pascal are outdated stuff since this software is outdated, but they are useful are a hands-on lesson on how simulation works and must be performed. All in all, a very profitable book.
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