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?Kress (Colorado State) examines forcasting methods. Emphasizing linear models, he begins with a discussion of the role of forecasting in business decision making. Subsequent chapters cover time series models, regression and correlations, judgmental methodology, simulation techniques, the acquisition of needed data (a review of data resources that would be useful to anyone in need of published information), and a general review of the forecasting process. The appendix contains a chapter on determining market and sales potentials. The author covers a wide variety of quantitative methods used by forecasters. Although all of the techniques presented could be found in greater detail in other books, this compilation serves to unify them for a particular purpose. The succinct writing style assumes a knowledge of mathematical expression, statistical methods, and probability theory.?-Choice