Advances in Social Science Research Using R
This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues--all providing practical tools using the free R software. McCullough: R can be used for reliable statistical c...
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Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2010.
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Series: | Lecture Notes in Statistics,
196 |
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Econometric Computing with #x201C;R#x201D;
- Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India
- Toward Better R Defaults for Graphics: Example of Voter Turnouts in U.S. Elections
- Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R-example of Inflation Unemployment Trade-off
- Bubble Plots as a Model-Free Graphical Tool for Continuous Variables
- Combinatorial Fusion for Improving Portfolio Performance
- Reference Growth Charts for Saudi Arabian Children and Adolescents
- Causal Mediation Analysis Using R
- Statistical Validation of Functional Form in Multiple Regression Using R
- Fitting Multinomial Models in R: A Program Based on Bock#x2019;s Multinomial Response Relation Model
- A Bayesian Analysis of Leukemia Incidence Surrounding an Inactive Hazardous Waste Site
- Stochastic Volatility Model with Jumps in Returns and Volatility: An R-Package Implementation.