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Monte Carlo simulation and resampling : methods for social science /

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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 par...

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Bibliographic Details
Main Authors: Carsey, Thomas M., 1966-2018 (Author), Harden, Jeffrey J. (Author)
Format: eBook
Language:English
Published: Los Angeles : SAGE, [2014]
Subjects:
Social sciences > Statistical methods.
Monte Carlo method.
Social sciences > Methodology.
Social sciences > Research > Computer simulation.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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 summarise the results.
Physical Description:1 online resource (x, 293 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781483319605 (ebook) :