Monte Carlo Simulation and Resampling Methods for Social Science

Monte Carlo Simulation and Resampling Methods for Social Science
Author :
Publisher : SAGE Publications
Total Pages : 304
Release :
ISBN-10 : 9781483324920
ISBN-13 : 1483324923
Rating : 4/5 (923 Downloads)

Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.


Monte Carlo Simulation and Resampling Methods for Social Science Related Books

Monte Carlo Simulation and Resampling Methods for Social Science
Language: en
Pages: 304
Authors: Thomas M. Carsey
Categories: Social Science
Type: BOOK - Published: 2013-08-05 - Publisher: SAGE Publications

DOWNLOAD EBOOK

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bia
Monte Carlo Simulation and Resampling
Language: en
Pages: 293
Authors: Thomas M. Carsey
Categories: Monte Carlo method
Type: BOOK - Published: 2014 - Publisher:

DOWNLOAD EBOOK

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bia
Introducing Monte Carlo Methods with R
Language: en
Pages: 297
Authors: Christian Robert
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique
Monte Carlo Simulation
Language: en
Pages: 116
Authors: Christopher Z. Mooney
Categories: Mathematics
Type: BOOK - Published: 1997-04-07 - Publisher: SAGE

DOWNLOAD EBOOK

Aimed at researchers across the social sciences, this book explains the logic behind the Monte Carlo simulation method and demonstrates its uses for social and
Sequential Monte Carlo Methods in Practice
Language: en
Pages: 590
Authors: Arnaud Doucet
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard