Monte Carlo Simulation (1) (Quantitative Applications in the Social Sciences)
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- Synopsis
- 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.
- Copyright:
- 1997
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 112 Pages
- ISBN-13:
- 9781506317908
- Related ISBNs:
- 9780803959439, 9781452209869, 9781452209869
- Publisher:
- SAGE Publications
- Date of Addition:
- 06/03/25
- Copyrighted By:
- Sage Publications, Inc.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Social Studies
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.