| Using forecasting techniques to predict meal demand in Title IIIc congregate lunch programs. | |
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MedLine Citation:
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PMID: 15281048 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The purpose of this study was to determine which forecasting model would most accurately predict meal demand in Title IIIc congregate lunch programs designed for serving older adults. Forecasting techniques including naïve, moving average (three versions) and simple exponential smoothing were applied to data collected over a 4-month period from seven meal sites located in a large urban area. An analysis of the forecasting models using mean absolute deviations and mean squared errors indicated that simple mathematical forecasting techniques provided better predictions of meal demand than did the naïve method for all sites. In four of the seven sites, exponential smoothing was the best forecasting model, whereas in the remaining sites, moving average models provided the best forecast. Implications are discussed. |
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Authors:
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Lee Blecher |
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Publication Detail:
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Type: Comparative Study; Journal Article |
Journal Detail:
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Title: Journal of the American Dietetic Association Volume: 104 ISSN: 0002-8223 ISO Abbreviation: J Am Diet Assoc Publication Date: 2004 Aug |
Date Detail:
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Created Date: 2004-07-28 Completed Date: 2004-08-31 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7503061 Medline TA: J Am Diet Assoc Country: United States |
Other Details:
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Languages: eng Pagination: 1281-3 Citation Subset: AIM; IM |
Affiliation:
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Department of Family and Consumer Sciences, California State University, Long Beach, 90840-0501, USA. blecher@csulb.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Aged Food Services / trends, utilization* Forecasting / methods* Health Services Needs and Demand / statistics & numerical data, trends* Humans Mathematics Middle Aged Models, Statistical Predictive Value of Tests Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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