About this Digital Document
Two basically different approaches to forecasting, spectral analysis and adaptive exponential smoothing, are compared by measuring squared error of forecasts on controlled computer-generated time series.
Full Title
A comparison of spectral analysis and adaptive exponential smoothin forecasting models
Member of
Contributor(s)
Creator: Brown, Steven M.
Thesis advisor: Monro, Sutton
Publisher
Lehigh University
Date Issued
1968-05
Language
English
Type
Genre
Form
electronic documents
Department name
Industrial Engineering
Digital Format
electronic documents
Media type
Creator role
Graduate Student
Identifier
1048261461
https://asa.lib.lehigh.edu/Record/10946934
Keywords
Brown, . S. M. (1968). A comparison of spectral analysis and adaptive exponential smoothin forecasting models (1–). https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/comparison-17
Brown, Steven M. 1968. “A Comparison of Spectral Analysis and Adaptive Exponential Smoothin Forecasting Models”. https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/comparison-17.
Brown, Steven M. A Comparison of Spectral Analysis and Adaptive Exponential Smoothin Forecasting Models. May 1968, https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/comparison-17.