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2010, ISBN: 1441917632

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 issu… Mehr…

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Advances in Social Science Research Using R | Hrishikesh D. Vinod | Taschenbuch | Lecture Notes in Statistics | Englisch | 2010 | Springer-Verlag GmbH | EAN 9781441917638 - Vinod, Hrishikesh D.
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Advances in Social Science Research Using R | Hrishikesh D. Vinod | Taschenbuch | Lecture Notes in Statistics | Englisch | 2010 | Springer-Verlag GmbH | EAN 9781441917638 - Taschenbuch

2010, ISBN: 9781441917638

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Advances in Social Science Research Using R / Hrishikesh D. Vinod / Taschenbuch / Lecture Notes in Statistics / XXIII / Englisch / 2010 / Springer-Verlag GmbH / EAN 9781441917638 - Vinod, Hrishikesh D.
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Advances in Social Science Research Using R / Hrishikesh D. Vinod / Taschenbuch / Lecture Notes in Statistics / XXIII / Englisch / 2010 / Springer-Verlag GmbH / EAN 9781441917638 - Taschenbuch

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ISBN: 9781441917638

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Advances in Social Science Research Using R (Lecture Notes in Statistics / Lecture Notes in Statistics - Proceedings) - Taschenbuch

2010, ISBN: 1441917632

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2010, ISBN: 9781441917638

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Details zum Buch
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 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. TOC:Econometric Computing with "R".- 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 US 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'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.

Detailangaben zum Buch - Advances in Social Science Research Using R


EAN (ISBN-13): 9781441917638
ISBN (ISBN-10): 1441917632
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
205 Seiten
Gewicht: 0,345 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2009-07-12T19:41:15+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-03T13:00:13+01:00 (Berlin)
ISBN/EAN: 9781441917638

ISBN - alternative Schreibweisen:
1-4419-1763-2, 978-1-4419-1763-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: research notes, science science, social, statistics using


Daten vom Verlag:

Autor/in: Hrishikesh D. Vinod
Titel: Lecture Notes in Statistics; Lecture Notes in Statistics - Proceedings; Advances in Social Science Research Using R
Verlag: Springer; Springer US
205 Seiten
Erscheinungsjahr: 2010-01-12
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
171,19 € (DE)
175,99 € (AT)
189,00 CHF (CH)
POD
XXIII, 205 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Abortion and crime; Bayesian; Heteroscedasticity; Inflation unemployment; Quantile; US elections; Voter turnout; childhood malnutrition in India; cointegration; data analysis; forward error; nonlinear; pivotal function; quantile regression; quantitative research; quantitative finance; Statistics in Business, Management, Economics, Finance, Insurance; Econometrics; Environmental Monitoring; Mathematics in Business, Economics and Finance; Public Health; Sociological Methods; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; Ökonometrie und Wirtschaftsstatistik; Umweltüberwachung (Umwelt-Monitoring); Angewandte Mathematik; Public Health und Präventivmedizin; Soziologie; EA

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.
Includes supplementary material: sn.pub/extras

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