Decorative Paint & Faux Finishes by Sunset

Decorative Paint & Faux Finishes by Sunset

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Decorative Paint & Faux Finishes by Sunset

Quantile Regression, the first book of Hao and Naiman′s two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines.

Key Features:

  • Establishes a natural link between quantile regression and inequality studies in the social sciences
  • Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples
  • Includes computational codes using statistical software popular among social scientists
  • Oriented to empirical research
  • SKU Nicht verfügbar
    ISBN 13 9780376013880
    ISBN 10 0376013885
    Titel Decorative Paint & Faux Finishes
    Autor Sunset Books
    Buchzustand Nicht verfügbar
    Bindungsart Hardback
    Verlag Sunset Pub Co
    Erscheinungsjahr 1999-09-01
    Seitenanzahl 176
    Hinweis auf dem Einband Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
    Hinweis Nicht verfügbar