MOONEY: MONTE CARLO SIMULATION (P): 116 (Quantitative Applications in the Social Sciences) - Tapa blanda

Libro 149 de 194: Quantitative Applications in the Social Sciences

Mooney, Christopher Z.

 
9780803959439: MOONEY: MONTE CARLO SIMULATION (P): 116 (Quantitative Applications in the Social Sciences)
Tapa blanda
ISBN 10: 0803959435 ISBN 13: 9780803959439
Editorial: SAGE Publications, Inc, 1997

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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

De la contraportada

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. This book explains the logic behind the method and demonstrates its uses for research.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
SAGE Publications, Inc
Año de publicación
1997
Idioma
Inglés
ISBN 10 
0803959435
ISBN 13 
9780803959439
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
112
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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