Monte Carlo Simulation and Resampling Methods for Social Science Jacqueline S. Thousand discussions of best practice for

discussions of best practice for investigating FII

This volume is a sequel to the landmark work that established an exciting new field of study

and professionals working with children

Includes an option to continue to Berwick-upon-Tweed on the final stage of the Northumberland Coast Path

A revised introduction by Elizabeth Fee frames the book within the context of the historiography of public health past

Monte Carlo Simulation and Resampling Methods for Social Science Jacqueline S. Thousand discussions of best practice forTaking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book illustrates 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