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Kelty-Stephen, Damian G.; Mirman, Daniel – Cognition, 2013
Our previous work interpreted single-lognormal fits to inter-gaze distance (i.e., "gaze steps") histograms as evidence of multiplicativity and hence interactions across scales in visual cognition. Bogartz and Staub (2012) proposed that gaze steps are additively decomposable into fixations and saccades, matching the histograms better and…
Descriptors: Eye Movements, Statistical Distributions, Graphs, Data
Janes, Joseph W. – Proceedings of the ASIS Annual Meeting, 1993
Examines the statistical distribution of relevance judgments by reviewing and comparing the results of several studies over the last three decades. A characteristic distribution is examined, and a hypothesis is offered to explain it based on human judging characteristics and the nature of relevance experimentation. (Contains 13 references.) (LRW)
Descriptors: Charts, Comparative Analysis, Evaluative Thinking, Graphs

Rousseau, 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

Egghe, L. – Journal of the American Society for Information Science, 1987
Pratt's measure C on the class concentration of bibliometric distributions is calculated and interpreted for the laws of Zipf, Mandelbrot, and Lotka and geometric distribution, and comparisons are made of the results. An explicit mathematical formula which unifies disparate theories is derived and tested. (Author/CLB)
Descriptors: Bibliometrics, Classification, Comparative Analysis, Functions (Mathematics)

Brookes, B. C. – Journal of Documentation, 1981
Argues that the application of Bradford's original formulation to Leimkuhler's choice of bibliographic citations more closely fits the statistical data than does his own. Operational research techniques are assailed as inadequate and wasteful to the needs and purposes of the social sciences. Six references are provided. (RAA)
Descriptors: Bibliographies, Citations (References), Comparative Analysis, Mathematical Formulas