Sales Forecasting Accuracy Over Time: An Empirical Investigation
This study investigated forecasting accuracy over time. Several quantitative and qualitative forecasting models were tested and a number of combinational methods was investigated. Six time series methods, one causal model, and one subjective technique were compared in this study. Six combinational f...
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ndltd-unt.edu-info-ark-67531-metadc3325262020-07-15T07:09:31Z Sales Forecasting Accuracy Over Time: An Empirical Investigation Zbib, Imad J.(Imad Jamil) sales forecasting mathematical models management Sales forecasting -- Mathematical models. This study investigated forecasting accuracy over time. Several quantitative and qualitative forecasting models were tested and a number of combinational methods was investigated. Six time series methods, one causal model, and one subjective technique were compared in this study. Six combinational forecasts were generated and compared to individual forecasts. A combining technique was developed. Thirty data sets, obtained from a market leader in the cosmetics industry, were used to forecast sales. All series represent monthly sales from January 1985 to December 1989. Gross sales forecasts from January 1988 to June 1989 were generated by the company using econometric models. All data sets exhibited seasonality and trend. University of North Texas 1991-05 Thesis or Dissertation vii, 132 leaves : ill. Text local-cont-no: 1002718443-Zbib call-no: 379 N81d no.3370 oclc: 25299710 untcat: b1475536 https://digital.library.unt.edu/ark:/67531/metadc332526/ ark: ark:/67531/metadc332526 English Public Zbib, Imad J.(Imad Jamil) Copyright Copyright is held by the author, unless otherwise noted. All rights reserved. |
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English |
format |
Others
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sales forecasting mathematical models management Sales forecasting -- Mathematical models. |
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sales forecasting mathematical models management Sales forecasting -- Mathematical models. Zbib, Imad J.(Imad Jamil) Sales Forecasting Accuracy Over Time: An Empirical Investigation |
description |
This study investigated forecasting accuracy over time. Several quantitative and qualitative forecasting models were tested and a number of combinational methods was investigated. Six time series methods, one causal model, and one subjective technique were compared in this study. Six combinational forecasts were generated and compared to individual forecasts. A combining technique was developed. Thirty data sets, obtained from a market leader in the cosmetics industry, were used to forecast sales. All series represent monthly sales from January 1985 to December 1989. Gross sales forecasts from January 1988 to June 1989 were generated by the company using econometric models. All data sets exhibited seasonality and trend. |
author |
Zbib, Imad J.(Imad Jamil) |
author_facet |
Zbib, Imad J.(Imad Jamil) |
author_sort |
Zbib, Imad J.(Imad Jamil) |
title |
Sales Forecasting Accuracy Over Time: An Empirical Investigation |
title_short |
Sales Forecasting Accuracy Over Time: An Empirical Investigation |
title_full |
Sales Forecasting Accuracy Over Time: An Empirical Investigation |
title_fullStr |
Sales Forecasting Accuracy Over Time: An Empirical Investigation |
title_full_unstemmed |
Sales Forecasting Accuracy Over Time: An Empirical Investigation |
title_sort |
sales forecasting accuracy over time: an empirical investigation |
publisher |
University of North Texas |
publishDate |
1991 |
url |
https://digital.library.unt.edu/ark:/67531/metadc332526/ |
work_keys_str_mv |
AT zbibimadjimadjamil salesforecastingaccuracyovertimeanempiricalinvestigation |
_version_ |
1719328675468410880 |