Monte Carlo Simulation, Issue 116

Front Cover
SAGE, Apr 7, 1997 - Mathematics - 103 pages

The author explains the logic behind the method 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, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles.

This volume will enable researchers to execute Monte Carlo Simulation effectively and to interpret the estimated sampling distribution generated from its use.

 

Selected pages

Contents

Using the PseudoPopulation in Monte Carlo
3
13
13
572
42
Using Monte Carlo Simulation in the Social Sciences
65
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Monte Carlo Simulation
Christopher Z. Mooney
Limited preview - 1997

Common terms and phrases

acceptance-rejection assess assumptions behavior Bernoulli Bernoulli trials beta distributed binomial distribution bootstrap calculate characteristics chi-square distribution column commands components computer algorithm constant define degrees of freedom distributed as N(0 distributed variable efficiency endif endo error rate error term error weight evaluate example exp_n exp_num experimental Figure increment independent variables inferential test integer inverse transformation method Jarque-Bera test kurtosis lognormal mean Monte Carlo estimate Monte Carlo experiments Monte Carlo simulation Mooney multiple multivariate multivariate normal distribution negative binomial distribution normal distribution null hypothesis number of trials OLS regression OLS slope output parametric inference Pareto distribution percentile Poisson distributed procedure pseudo-population pseudo-sample random numbers random variable range regression model rejected rndn rndu n,1 sampling distribution Section skewness and kurtosis slope estimates social process social sciences specified standard deviation statistic's statistical theory Table techniques theoretical Type I error variance vary vote bias estimator

References to this book

About the author (1997)

Christopher Z. Mooney is a professor of political studies with a joint appointment in the Institute of Government and Public Affairs. Mooney studies U.S. state politics and policy, with special focus on legislative decision making, morality policy, and legislative term limits. He is the founding editor of State Politics and Policy Quarterly, the premier academic journal in its field and has published dozens of articles and books, including Lobbying Illinois - How You Can Make a Difference in Public Policy. Prior to arriving at UIS in 1999, he taught at West Virginia University and the University of Essex in the United Kingdom

Bibliographic information

TitleMonte Carlo Simulation, Issue 116
Monte Carlo Simulation, Christopher Z. Mooney
Quantitative Applications in the Social Sciences, ISSN 0149-192X
Sage university papers series: Quantitative applications in the social sciences, ISSN 0149-192X
Volume 116 of Sage university papers
AuthorChristopher Z. Mooney
EditorChristopher Z. Mooney
PublisherSAGE, 1997
ISBN0803959435, 9780803959439
Length103 pages
Subjects ›  › 

Mathematics / Probability & Statistics / General
Mathematics / Probability & Statistics / Stochastic Processes
Reference / Research
Social Science / Research
  
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