Document
About this Digital Document
Five forcasting models, first, second, and third order exponential smoothing, moving average, and linear regression, are applied to eighty-one time series and the resultant minumum forecast erro for each of the five methods on each other the time series is computed.
Full Title
A comparison and evaluation of five forecasting techniques when applied to various stationary time series
Member of
Contributor(s)
Creator: Fiddleman, Richard H.
Thesis advisor: Carroll, John M.
Publisher
Lehigh University
Date Issued
1966-05
Language
English
Type
Genre
Form
electronic documents
Department name
Industrial Engineering
Digital Format
electronic documents
Media type
Creator role
Graduate Student
Identifier
1048261493
https://asa.lib.lehigh.edu/Record/10946744
Keywords
Fiddleman, . R. H. (1966). A comparison and evaluation of five forecasting techniques when applied to various stationary time series (1–). https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/comparison-8
Fiddleman, Richard H. 1966. “A Comparison and Evaluation of Five Forecasting Techniques When Applied to Various Stationary Time Series”. https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/comparison-8.
Fiddleman, Richard H. A Comparison and Evaluation of Five Forecasting Techniques When Applied to Various Stationary Time Series. May 1966, https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/comparison-8.
