The BiblioNest. Curate your collection, your way.
© 2026 Ann Mathenge · Built with love, coffee, and cat hair.
Loading...
© 2026 Ann Mathenge · Built with love, coffee, and cat hair.
By Jun S. Liu
"This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians.
It can also be used as the textbook for a graduate-level course on Monte Carlo methods. Many problems discussed in the later chapters can be potential thesis topics for master's or Ph.D. students in statistics or computer science departments."--BOOK JACKET.
Published
October 17, 2002
Format
-
Pages
360
Language
English
ISBN
9780387952307