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Peer reviewedJefferson, T. R.; And Others – Psychometrika, 1989
The problem of scaling ordinal categorical data observed over two or more sets of categories measuring a single characteristic is addressed. Scaling is obtained by solving a constrained entropy model. A Kullback-Leibler statistic is generated that operationalizes a measure for the strength of consistency among the sets of categories. (TJH)
Descriptors: Classification, Entropy, Mathematical Models, Matrices
Cote, Leon C.; Smith, Wayland P. – 1973
Several computer programs were developed to solve various versions of the quadratic capacitated facilities location problem. Matrices, which represent various business costs, are defined for the factors of sites, facilities, customers, commodities, and production units. The objective of the program is to find an optimization matrix for the lowest…
Descriptors: Algorithms, Change, Computer Programs, Computer Science


