STATISTICAL DATA ANALYSIS IN THE INFORMATION DOMAIN

Abstract

The presented principal objective is information retrieval from tepetitiously generated data sets. In contrast to conventional, formally statistical analysis, the genesis of data is postulated as the principal feature of analysis for obtaining the optimum of information from any data set. Consequently, arbitrary randomization of naturally sequential data, formal averaging, and “amplitude‐classification” of formal statistics are rejected because of suppression of information. Preservation of information is accomplished by pattern classification of coherent data sets into characteristic pattern prototypes. Examples are given.

Citation

REISIG, G.H.R. (1977), "STATISTICAL DATA ANALYSIS IN THE INFORMATION DOMAIN", Kybernetes, Vol. 6 No. 2, pp. 107-123. https://doi.org/10.1108/eb005444