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
Citation
@mastersthesis{fiddleman1966,
title = {A comparison and evaluation of five forecasting techniques when applied to various stationary time series},
author = {Fiddleman, Richard},
year = {1966},
month = may,
publisher = {Lehigh University},
isbn = {1048261493},
url = {https://asa.lib.lehigh.edu/Record/10946744},
keywords = {Industrial engineering},
abstract = {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.},
language = {English},
}
