Monte Carlo Simulation (Quantitative Applications in the Social Sciences Book 116)
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Monte Carlo Simulation is a method of evaluating substantive hypotheses and statistical estimators by developing a computer algorithm to simulate a population, drawing multiple samples from this pseudo-population, and evaluating estimates obtained from these samples. Christopher Z. Mooney explains the logic behind Monte Carlo Simulation and demonstrates its uses for social and behavioral research in conducting inference using statistics with only weak mathematical theory, testing null hypotheses under a variety of plausible conditions, assessing the robustness of parametric inference to violations of its assumptions, assessing the quality of inferential methods, and comparing the properties of two or more estimators. In addition, Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and illustrates these principles using several research examples. is a method of evaluating substantive hypotheses and statistical estimators by developing a computer algorithm to simulate a population, drawing multiple samples from this pseudo-population, and evaluating estimates obtained from these samples. Christopher Z. Mooney explains the logic behind and demonstrates its uses for social and behavioral research in conducting inference using statistics with only weak mathematical theory, testing null hypotheses under a variety of plausible conditions, assessing the robustness of parametric inference to violations of its assumptions, assessing the quality of inferential methods, and comparing the properties of two or more estimators. In addition, Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and illustrates these principles using several research examples. Monte Carlo Simulation will enable researchers to effectively execute Monte Carlo Simulation and to interpret the estimated sampling distribution generated from its use. will enable researchers to effectively execute Monte Carlo Simulation and to interpret the estimated sampling distribution generated from its use. Learn more about "The Little Green Book" - QASS Series! Click Here


Sticky notes: On Kindle Scribe
Language: English
File size: 2473 KB
Publisher: SAGE Publications, Inc
Publication date: April 7, 1997
ISBN-13: 978-0803959439
Edition: 1st
subtitle: 1st Edition, Kindle Edition
author: Visit Amazon's Christopher Z. Mooney Page search results Christopher Z. Mooney