Least absolute deviation estimation of stationary time series models

Least absolute deviation estimation of stationary time series models

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Article ID: iaor19961872
Country: Netherlands
Volume: 67
Issue: 2
Start Page Number: 272
End Page Number: 277
Publication Date: Jun 1993
Journal: European Journal of Operational Research
Authors: ,
Abstract:

This paper is concerned with practical aspects of least absolute deviation (LAD) estimation of Box-Jenkins models for single time series. Formulation of the LAD method as a non-linear programming problem is described. The method is applied to a multiplicative seasonal moving average model for monthly rice sales data and to US airline passenger data.

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