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Advances In Social Science Research Using R (Cód: 6326550)

Hrishikesh D. Vinod

SPRINGER VERLAG POD

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Advances In Social Science Research Using R

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Descrição

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 computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime. Koenker:
Additive models provide a clever compromise between parametric and non-parametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections.
Vinod: New solutions to the old problem of efficient estimation despite autocorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and
unemployment. Markus and Gu: New R tools for exploratory data analysis including bubble plots. Vinod, Hsu and Tian: New R tools for portfolio selection borrowed from computer scientists and data-mining experts; relevant to
anyone with an investment portfolio. Foster and Kecojevic: Extends the usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the
age-old scientific problem of assessing the direction and strength of causation. Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the choice of
functional form for an unknown, potentially nonlinear relationship, explaining a set of new R tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance
(ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools for Bayesian posterior distributions to study increased disease risk in proximity to a hazardous waste site. Numatsi and
Rengifo: Explain persistent discrete jumps in financial series subject to misspecification.

Características

Produto sob encomenda Sim
Marca SPRINGER VERLAG POD
Cód. Barras 9781441917638
Altura 23.40 cm
I.S.B.N. 9781441917638
Profundidade 1.24 cm
Referência 9781441917638
Ano da edição 2010
Idioma Inglês
Número de Páginas 232
Peso 0.33 Kg
Largura 15.60 cm
AutorHrishikesh D. Vinod

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