Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation,
Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, 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.
This book title, Monte Carlo Simulation and Resampling Methods for Social Science, ISBN: 9781452288901, by Thomas M. Carsey, Jeffrey J. Harden, published by SAGE Publications (August 6, 2013) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.
Unlike Amazon and other retailers who may also offer Monte Carlo Simulation and Resampling Methods for Social Science books on their website, we specialize in large quantities and provide personal service, from trusted, experienced, friendly people in Portland, Oregon. We offer a Price Match Guarantee, and QuickQuote form, to make purchasing quick and easy.
Prefer to work with a human being when you order Monte Carlo Simulation and Resampling Methods for Social Science books in bulk? Our Book Specialists are standing by Monday-Friday 8-5 PST, ready to help!
