2 edition of Composition and pattern of the forecast uncertainty due to unreliable data found in the catalog.
Composition and pattern of the forecast uncertainty due to unreliable data
J. C. G. van Vlimmeren
Includes bibliographical references (p. 23).
|Statement||J.C.G. van Vlimmeren, V.R. Okker, and F.J.H. Don.|
|Series||Research memoranda ;, no. 62, Onderzoeksmemorandum ;, no. 62.|
|Contributions||Okkar, V. R., Don, F. J. H.|
|LC Classifications||HB3730 .V59 1989|
|The Physical Object|
|Pagination||28 p. ;|
|Number of Pages||28|
|LC Control Number||90214213|
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The GISP2 Greenland ice core has proven to be a great source of climatic data from the geologic past. Ancient temperatures can be measured using oxygen isotopes in the ice and ages can be determined from annual dust accumulation layers in the ice. The historical data series for State personal income has recently undergone substantial revision due to a change in methodology by the Bureau of Economic Analysis of the U.S. Department of Commerce. For this reason, the current Committee staff estimate for and the forecast for are not comparable with those of the past (see Box 1).
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Gallo G.M. and F.J.H. Don (), ‘Forecast uncertainty due to unreliable data’, Economic and Financial Computing 1 49– Google Scholar Gelauff, G.M.M., and V.R.
Okker (), ‘ZOEM: a condensed version of the FREIAKOMPAS model of the Dutch economy’, CPB Research memoran Cited by: 6. “Composition and pattern of forecast uncertainty due to unreliable data: further results.” 81, Central Planning Bureau, The Hague, the Netherlands.
Google Scholar van Witteloostuijn, A. This gap results in uncertainty and may be attributed to unreliable data sources (e.g., an inaccurate sensor reading), unreliable networks (e.g., packet drop at routers), the use of fuzzy.
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