Name: Monte Carlo Simulation and Resampling Methods for Social Science (en Inglés)
Price: 138420.00 CLP
Availability: InStock
Author: Carsey, Thomas M. ; Harden, Jeffrey J.
ISBN: 9781452288901

portada Monte Carlo Simulation and Resampling Methods for Social Science (en Inglés)

Formato

Libro Físico

Autor

Thomas M. Carsey

Jeffrey J. Harden

Editorial

Sage Publications, Inc

Idioma

Inglés

N° páginas

304

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 18.5 x 1.8 cm

Peso

0.52 kg.

ISBN13

9781452288901

Categorías

Investigación social y estadística

Monte Carlo Simulation and Resampling Methods for Social Science (en Inglés)

Thomas M. Carsey (Autor) · Jeffrey J. Harden (Autor) · Sage Publications, Inc · Tapa Blanda

Libro Físico

$ 138.420

$ 212.950

Ahorras: $ 74.530

35% descuento

Envío normal

Origen: España (Costos de importación incluídos en el precio)

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Reseña del libro "Monte Carlo Simulation and Resampling Methods for Social Science (en Inglés)"

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.