mark handcock (10 Ergebnisse)

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Hardcover. Zustand: Very Good. Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Hardcover. Zustand: Sehr gut. N.Y., Springer (1999). gr.8°. 41 figs. XIII, 265 p. Hardbound. (slightly faded, otherwise in very good condition).- Statistics for Social Science and Public Policy.- With exercises.

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Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 265 pages. 9.00x6.00x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Relative Distribution Methods in the Social Sciences | Mark S. Handcock (u. a.) | Taschenbuch | Statistics for Social and Behavioral Sciences | xiv | Englisch | 2013 | Springer | EAN 9781475772562 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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,