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612-822-4611
Monte Carlo Simulation

Monte Carlo Simulation

Paperback

Series: Quantitative Applications in the Social Sciences, Book 116

General SociologyProbability & Statistics

ISBN10: 0803959435
ISBN13: 9780803959439
Publisher: Sage Publications, Inc
Published: Apr 7 1997
Pages: 112
Weight: 0.22
Height: 0.21 Width: 5.46 Depth: 8.30
Language: English

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.

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Mooney, Christopher Z.

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Probability & Statistics