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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Autor principal: Vinod, Hrishikesh D., 1939-
Altres autors: Vinod, Hrishikesh D. (Editor)
Format: Livre numérique
Idioma:Anglais
Publicat: New York, NY : Springer New York [20..].
Cham : Springer Nature
Col·lecció:Lecture Notes in Statistics 196
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advances in social science research using R, H.D. Vinod, editor, New York, Springer, 2010, 1 vol. (XXIII-205 p.), Lecture notes in statistics / proceedings, 978-1-441-91763-8
Taula de continguts:
  • 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