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Peer reviewedLoughner, William – Journal of the American Society for Information Science, 1992
Corrects an error in the calculation of the Kolmogorov-Smirnov (KS) statistic when it is used to empirically confirm or deny the generalized Lotka's law. Examples from the literature are given of both correct and incorrect uses of the KS test and Lotka equations with cumulative distribution functions (CDFs). (six references) (LRW)
Descriptors: Computation, Goodness of Fit, Hypothesis Testing, Literature Reviews
Peer reviewedRousseau, Ronald – Information Processing and Management, 1994
Discussion of informetric distributions shows that generalized Leimkuhler functions give proper fits to a large variety of Bradford curves, including those exhibiting a Groos droop or a rising tail. The Kolmogorov-Smirnov test is used to test goodness of fit, and least-square fits are compared with Egghe's method. (Contains 53 references.) (LRW)
Descriptors: Bibliometrics, Comparative Analysis, Goodness of Fit, Least Squares Statistics
