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Titlebook: Advances in Social Science Research Using R; Hrishikesh D. Vinod Conference proceedings 2010 Springer-Verlag New York 2010 Abortion and cr

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發(fā)表于 2025-3-21 19:52:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Social Science Research Using R
影響因子2023Hrishikesh D. Vinod
視頻videohttp://file.papertrans.cn/150/149733/149733.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Statistics
圖書封面Titlebook: Advances in Social Science Research Using R;  Hrishikesh D. Vinod Conference proceedings 2010 Springer-Verlag New York 2010 Abortion and cr
影響因子Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at t
Pindex Conference proceedings 2010
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Security Threats to Computer Networks benchmark model may easily miss important features of the data. Using recently advanced nonparametric regression methods we illustrate two powerful techniques to validate a parametric benchmark model. We discuss an empirical example using a well-known data set and provide R code snippets for the implementation of simulations and examples.
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,Econometric Computing with “R”,assic papers by Longley and by Beaton, Rubin and Barone. We apply the methods of econometric computing to show that the empirical results of Donohue and Levitt’s abortion paper are numerically unsound. This discussion should be of interest in other social sciences as well.
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Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R-example of Inflaide R functions to implement the ideas using the Phillips curve trade-off between inflation and unemployment for illustration. An Appendix discusses numerical methods to correct for general ARMA errors with an illustration of ARMA(4,3).
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Combinatorial Fusion for Improving Portfolio Performance,alysis (CFA) in computer science to enhance portfolio performance and demonstrate with an example using U.S. stock market data that fusion methods can indeed improve the portfolio performance. The R software is found to offer powerful tools for application of CFA in Finance.
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Access Control and Authorizationnerator on the northeast coast of England. We describe in detail the three-stage Bayesian hierarchical model, and the selection of prior distributions for the model parameters. A major emphasis of this chapter will be on the use of R and WinBUGS, and the R2WinBUGS interface between them, in conducting the data analysis.
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Conference proceedings 2010 supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages suc
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