rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Social Science Research Using R
  name:
    name part: Vinod, Hrishikesh D.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIII, 205 p. online resource.
  abstract: 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 pe…
  table of contents: 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.
  note: edited by Hrishikesh D. Vinod.
  subject:
    topic: Statistics
  subject:
    topic: Public health
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Econometrics
  subject:
    topic: Social sciences
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Business/Economics/Mathematical Finance/Insurance
  subject:
    topic: Econometrics
  subject:
    topic: Environmental Monitoring/Analysis
  subject:
    topic: Quantitative Finance
  subject:
    topic: Public Health
  subject:
    topic: Methodology of the Social Sciences
  classification: QA276-280
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Statistics, 196
  identifier: 9781441917645
  identifier: http://dx.doi.org/10.1007/978-1-4419-1764-5
  record info:
    record creation date: 100301
    record change date: 20151204165712.0
    record identifier: 978-1-4419-1764-5