Statistics

Relative Distribution Methods in the Social Sciences

Name: Relative Distribution Methods in the Social Sciences
Brand: Springer
SKU: 9780387987781
Price: 6384.00 INR
Availability: InStock
ISBN: 9780387987781

RELATIVE DISTRIBUTION METHODS

Contributor(s): Handcock, Mark S. Author , Morris, Martina Author Format: Hardback

Hardback · ISBN 9780387987781

₹6,384

Inclusive of GST and other taxes

100% Quality Assurance

No Account Creation Required

Fast Delivery

Secured Transactions

Arriving at your doorstep in 10-15 days

Our logisitcs team will make sure everyitem is delivered safely

Key Specifications

ISBN	9780387987781
Subtitle	RELATIVE DISTRIBUTION METHODS
Publisher	Springer
Publication date	August 1999
Language	English
MRP	£44.99 GBP
Page count	284
Item weight	127 g

In social science research, differences among groups or changes over time are a common focus of study. While means and variances are typically the basis for statistical methods used in this research, the underlying social theory often implies properties of distributions that are not well captured by these summary measures. Examples include the current controversies regarding growing inequality in earnings, racial diferences in test scores, socio-economic correlates of birth outcomes, and the impact of smoking on survival and health. The distributional differences that animate the debates in these fields are complex. They comprise the usual mean-shifts and changes in variance, but also more subtle comparisons of changes in the upper and lower tails of distributions. Survey and census data on such attributes contain a wealth of distributional information, but traditional methods of data analysis leave much of this information untapped. In this monograph, we present methods for full comparative distributional analysis. The methods are based on the relative distribution, a nonparametric complete summary of the information required for scale--invariant comparisons between two distributions. The relative distribution provides a general integrated framework for analysis. It offers a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition that enables one to examine complex hypotheses regarding the origins of distributional changes within and between groups. The monograph is written for data analysts and those interested in measurement, and it can serve as a textbook for a course on distributional methods. The presentation is application oriented,

Relative Distribution Methods in the Social Sciences

Key Specifications

Handcock, Mark S. Author

Morris, Martina Author

Related titles