Christopher Z. Mooney

Monte Carlo Simulation

Buch

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. The author explains the logic behind the method and demonstrates its uses for social and behavioural 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;… Mehr

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Produktdetails

Weitere Autoren: Mooney, Christopher Z. (Hrsg.)

ISBN: 978-0-8039-5943-9
EAN: 9780803959439
Produktnummer: 19419321
Verlag: Corwin Pr Inc
Sprache: Englisch
Erscheinungsjahr: 1997
Seitenangabe: 112 S.
Masse: H21.1 cm x B13.9 cm x D0.5 cm 100 g
Auflage: New
Reihenbandnummer: 116
Gewicht: 100

Über den 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