Conference on Quantitative Social Science Research Using R 课件

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Conference on Quantitative Social Science Research Using R Presentation slides (as of July 7) Overview slides

Keynote talk Author Affiliation Title Roger Koenker University of Illinois, Deptartment of Economics Quantile Regression: A Gentle Introduction for R-ophiles Invited talks Order: alphabetical (first author) Kosuke Imai Princeton University, Department of Politics Causal Mediation Analysis in R Keith A. Markus and Wen Gu John Jay College Department of Psychology Bubble Plots as a Model-Free Graphical Tool for Three Continuous Variables and a Flexible R Function to Plot Them Bruce D. McCullough Drexel University, Department of Decision Sciences Department of Economics Econometric Computing with R Hrishikesh (Rick) D. Vinod Fordham University Department of Economics Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R-example of Inflation Unemployment Tradeoff Achim Zeileis Wirtschaftsuniversität Wien Department of Statistics and Mathematics Statistical Computing in R: Strategies for Turning Ideas into Software Regular Presentations Order: alphabetical (first author) Peter Foster and Tatjana Kecojević School of Mathematics, University of Manchester, Manchester, UK Lancashire Business School, University of Central Lancashire, Preston, UK Reference growth charts for Saudi Arabian children and adolescents David Rindskopf City University of New York, Graduate Center mqual: A program for Bock's Multinomial Response Model Harry Haupt, Joachim Schnurbus and Rolf Tschernig Bielefeld University and University of Regensburg, Germany Validation of functional form in multiple regression using R Ronald Neath Department of Statistics and Computer Information Systems Baruch College, City University of New York A Bayesian Statistical Analysis of Leukemia Incidence Surrounding an Inactive Hazardous Waste Site Adjoa Numatsi and Erick Rengifo Economics Department, Fordham University, New York GARCH Models versus Stochastic Volatility Models with Jumps in Returns and Volatilityin different market situations Roberto Patuelli Institute for Economic Research (IRE) University of Lugano, Switzerland The Rimini Centre for Economic Analysis, Italy Estimating a Spatial Filtering Gravity Model for Bilateral Trade: Functional Specifications and Estimation Challenges Jeff Simono and Rebecca Sela Stern School of Business, New York University RE-EM Trees: A New Data Mining Approach to Longitudinal Data Tutorial Slides Rossen Trendafilov and Brandon Vick Fordham University Department of Economics A Short Introduction to R

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关键词：Quantitative QUANTITATIV Conference Research Researc 课件 Science Using Research Conference

怎么没人对这个会议的内容感兴趣。

好东东，谢谢楼主了

很好的资料

什么是R？？？？

好资料
谢谢楼主

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