Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)

R 5,266

or 4 x payments of R1,316.50 with Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)

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 a textbook for a graduate-level course on Monte Carlo methods.
Country USA
Brand Springer
Manufacturer Springer
Binding Paperback
ItemPartNumber Illustrated
UnitCount 1
Format Illustrated
EANs 9780387763699
ReleaseDate 0000-00-00

You might also like...

Monte Carlo Statistical Methods (Springer Texts in Statistics)

Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Foundations of Agnostic Statistics

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction