Date

1973

Document Type

Thesis

Degree

Master of Science

Department

Industrial Engineering

First Adviser

Monro, Sutton

Abstract

The objective of this thesis was the development of a nonlinear smoothing technique to be used in conjunction with the powerful Box and Jenkins time series analysis and forecasting techniques so that the latter could be made more robust against deviations from Gaussian error assumptions.

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