- Tapa dura: 800 páginas
- Editor: McGraw Hill Higher Education; Edición: 4th New edition (25 de agosto de 2006)
- Colección: McGraw-Hill Series in Industrial Engineering and Management
- Idioma: Inglés
- ISBN-10: 0072988436
- ISBN-13: 978-0072988437
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Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management) (Inglés) Tapa dura – 25 ago 2006
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Reseña del editor
Since the publication of the first edition in 1982, the goal of "Simulation Modeling and Analysis" has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the "bible" of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: a first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses; and a second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. It provides an introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
Biografía del autor
Averill Law (Tucson, AZ) is the founder of Averill M. Law & Associates.
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Btw, this book is very mathematically intensive (for me anyway); especially in terms of statistical analysis. In my career I work around a lot of physics based simulations and "entity-level" simulations for defense related scenarios, so I had some misconceptions about the class that I used this book in. However, it was required for my Masters degree, so sometimes you have to just have to bend over and start reading.