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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Dettagli Bibliografici
Autore principale: Pipon, Dave Elsisura (Autore)
Altri autori: Associate Professor Julian A. Cayton, Phd (adviser.)
Natura: Tesi
Lingua:English
Soggetti:
Lumpy data > Intermittent data > Mean absolute percentage error > Forecast measure > Forecast method selection.