Monte Carlo Simulation (Quantitative Applications in the Social Sciences)
Product Description
Monte Carlo Simulation (Quantitative Applications in the Social Sciences)
- Used Book in Good Condition
<p>The author explains the logic behind the method 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, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles.</p> <p>This volume will enable researchers to execute <b>Monte Carlo Simulation</b> effectively and to interpret the estimated sampling distribution generated from its use. </p>
Technical Specifications
You might also like
Bootstrapping: A Nonparametric Approach to Statistical Inference (Quantitative Applications in the Social Sciences)
Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)
Monte Carlo Simulation and Resampling Methods for Social Science
Bayesian Statistical Inference (Quantitative Applications in the Social Sciences)
Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)
Introduction to Machine Learning with Python: A Guide for Data Scientists
Introduction to Time Series Analysis (Quantitative Applications in the Social Sciences)
Missing Data (Quantitative Applications in the Social Sciences)
Data Analysis: An Introduction (Quantitative Applications in the Social Sciences)