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
Citation
@mastersthesis{brown1968,
title = {A comparison of spectral analysis and adaptive exponential smoothin forecasting models},
author = {Brown, Steven},
year = {1968},
month = may,
publisher = {Lehigh University},
isbn = {1048261461},
url = {https://asa.lib.lehigh.edu/Record/10946934},
keywords = {Industrial engineering},
abstract = {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.},
language = {English},
}