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Monte Carlo Simulation (Paperback) Loot Price: R1,243
Discovery Miles 12 430

Monte Carlo Simulation (Paperback)

Christopher Z. Mooney

Series: Quantitative Applications in the Social Sciences

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Loot Price R1,243 Discovery Miles 12 430 | Repayment Terms: R116 pm x 12*

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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.

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


General

Imprint: Sage Publications Ltd
Country of origin: United States
Series: Quantitative Applications in the Social Sciences
Release date: May 1997
First published: April 1997
Authors: Christopher Z. Mooney
Dimensions: 216 x 140 x 6mm (L x W x T)
Format: Paperback
Pages: 103
ISBN-13: 978-0-8039-5943-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Optimization > Game theory
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LSN: 0-8039-5943-5
Barcode: 9780803959439

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