Generating fault rate surfaces using network fault statistics and geographic information

Abstract

This paper applies logistic regression to network fault statistics and geographic information. The logistic regression model is further processed in order to obtain raster formatted fault rate surfaces that aid network planning, e.g., in automated routines or as background maps. The fault rate surfaces are applied as a part of an automated network planning… (More)

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