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Monte Carlo Simulation (Quantitative Applications in the Social Sciences)

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Author: Christopher Z. Mooney
Publisher: Sage Publications, Inc
Category: Book

List Price: ~~$16.95~~
Buy New: $15.25
You Save: $1.70 (10%)

New (24) Used (4) from $14.24

Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 112
Shipping Weight (lbs): 0.2
Dimensions (in): 8.4 x 5.5 x 0.4

ISBN: 0803959435
Dewey Decimal Number: 519.282
EAN: 9780803959439
ASIN: 0803959435

Publication Date: April 7, 1997
Availability: Usually ships in 24 hours

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•	Bayesian Statistical Inference (Quantitative Applications in the Social Sciences)
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Editorial Reviews:

Product Description
bpMonte Carlo Simulation/b 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 bMonte Carlo Simulation/b 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. /p bpMonte Carlo Simulation/b will enable researchers to effectively execute Monte Carlo Simulation and to interpret the estimated sampling distribution generated from its use. /p

Customer Reviews:

4 out of 5 stars

Probabilistic July 5, 2007
0 out of 2 found this review helpful

This is a very good introduction to the layperson(nonmath type)for monte carlo simulation. It is concise and written with clarity. I highly recommend it.

Copyright 2007 White Hat Communications.
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