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Classical survey design and data analysis methods deal with observations at a single time point and cannot be applied directly to time series problems. This paper describes some recent work in the design of environmental surveys conducted over time. A method is given for finding the optimum number of times to repeat a survey over time. It is also shown how time series models can be used to evaluate the utility of base line surveys.
survey design, experimental design, intervention analysis, time series, environmental surveys
Associate professor, School of Business Administration, Temple University, Philadelphia, Pa.