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Up-to-date from the 1996 version, this publication deals precious tools of statistical research of key standards, with an emphasis on program instead of idea. insurance contains forecasting techniques, resources of data for forecasting, curve becoming, water use coefficient types, causal/structural forecast types, forecasting seasonal and height water calls for, inhabitants and fiscal forecasts, results of conservation, expense, and climate. comprises CD-ROM with examples that aid the tools
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Additional resources for Forecasting Urban Water Demand
The survey question was “What methods, resources, and software do you use to forecast your water demand? book Page 33 Tuesday, January 29, 2008 3:31 PM CHOOSING A FORECASTING APPROACH 33 IWR-MAIN dates back to research on national patterns of residential water demand conducted in the 1960s. IWR-MAIN is structured as a sectoral forecast model. Earlier versions had built-in default parameters that allowed users to make adjustments. , the two- or three-digit Standard Industrial Classification [SIC]) level.
In the longer run, water analysts must evaluate and quantify risks associated with population or employment forecasts. Here, expert opinion is probably the best source.
M. 1998. Determinants of Urban Water Use. In Urban Water Demand Management and Planning. D. J. M. Hanneman. New York: McGraw-Hill. J. E. F. R. Morris. 1984. Municipal Water Demand: Statistical and Management Issues, Studies in Water Policy and Management No. 4. : Westview Press. Kennedy, P. 2003. A Guide to Econometrics. 5th ed. : MIT Press. S. T. Bower, I. R. D. Sewell. 1984. Modeling Water Demands. London: Academic Press. P. C. B. Wolff. 1966. Residential Water Use Project–Final and Summary Report, Report V, Phase Two.