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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Vinod, Hrishikesh D. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2010.
Σειρά:Lecture Notes in Statistics, 196
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 04847nam a22005415i 4500
001 978-1-4419-1764-5
003 DE-He213
005 20151204165712.0
007 cr nn 008mamaa
008 100301s2010 xxu| s |||| 0|eng d
020 |a 9781441917645  |9 978-1-4419-1764-5 
024 7 |a 10.1007/978-1-4419-1764-5  |2 doi 
040 |d GrThAP 
050 4 |a QA276-280 
072 7 |a PBT  |2 bicssc 
072 7 |a K  |2 bicssc 
072 7 |a BUS061000  |2 bisacsh 
082 0 4 |a 330.015195  |2 23 
245 1 0 |a Advances in Social Science Research Using R  |h [electronic resource] /  |c edited by Hrishikesh D. Vinod. 
264 1 |a New York, NY :  |b Springer New York,  |c 2010. 
300 |a XXIII, 205 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Statistics,  |x 0930-0325 ;  |v 196 
505 0 |a 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. 
520 |a 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. 
650 0 |a Statistics. 
650 0 |a Public health. 
650 0 |a Economics, Mathematical. 
650 0 |a Econometrics. 
650 0 |a Social sciences. 
650 1 4 |a Statistics. 
650 2 4 |a Statistics for Business/Economics/Mathematical Finance/Insurance. 
650 2 4 |a Econometrics. 
650 2 4 |a Environmental Monitoring/Analysis. 
650 2 4 |a Quantitative Finance. 
650 2 4 |a Public Health. 
650 2 4 |a Methodology of the Social Sciences. 
700 1 |a Vinod, Hrishikesh D.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781441917638 
830 0 |a Lecture Notes in Statistics,  |x 0930-0325 ;  |v 196 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4419-1764-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)