On Variations of the Absolute Percent Error For Lumpy and Intermittent Data

On Variations of the Absolute Percent Error For Lumpy and Intermittent Data

ABSTRACT Preponderance of zeroes are often present in business, social science, and ecological data. These are define as lumpy and intermittent data series characterized by their magnitude intermittency and erraticness. Against this backdrop, one of the commonly used forecast measure, the Mean ab...

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Bibliographic Details
Main Author: Pipon, Dave Elsisura (Author)
Other Authors: Associate Professor Julian A. Cayton, Phd (adviser.)
Format: Thesis
Language:English
Subjects:
Lumpy data > Intermittent data > Mean absolute percentage error > Forecast measure > Forecast method selection.