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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7098

Title: A weak goodness-of-fit test for rank-frequency distributions
Authors: ROUSSEAU, Ronald
Issue Date: 1999
Publisher: México D.F. Universidad de Colima
Citation: Macias-Chapula, C.A. (Ed.) Seventh Conference of the International Society for Scientometrics and Informetrics - Prceedings. p. 421-430.
Abstract: We propose a goodness-of-fit test for cumulative rank-frequency distributions (Bradford curves). As the test is based on the correspondence of Gini indices and not on the curves themselves we lose information. Hence we refer to the procedure as a weak test. Confidence intervals for observed Gini indices are drawn using the jackknife estimator for the variance. Techniques are illustrated by testing the fit for 30 data sets. This clearly illustrates that the equation
URI: http://hdl.handle.net/1942/7098
ISI #: 000082968800038
ISBN: 968-6190-91-0
Type: Proceedings Paper
Appears in Collections: Research publications

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