Monte Carlo Simulation and Resampling Methods for Social Science is popular PDF and ePub book, written by Thomas M. Carsey in 2013-08-05, it is a fantastic choice for those who relish reading online the Social Science genre. Let's immerse ourselves in this engaging Social Science book by exploring the summary and details provided below. Remember, Monte Carlo Simulation and Resampling Methods for Social Science can be Read Online from any device for your convenience.
Monte Carlo Simulation and Resampling Methods for Social Science Book PDF Summary
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.
Detail Book of Monte Carlo Simulation and Resampling Methods for Social Science PDF
- Author : Thomas M. Carsey
- Release : 05 August 2013
- Publisher : SAGE Publications
- ISBN : 9781483313474
- Genre : Social Science
- Total Page : 305 pages
- Language : English
- PDF File Size : 11,7 Mb
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