Record Display for the EPA National Library Catalog


Main Title Optimizing Composite Sampling Protocols.
Author Rohlf, F. J. ; Akcakaya, H. R. ; Ferraro., S. P. ;
CORP Author State Univ. of New York at Stony Brook. Dept. of Ecology and Evolution. ;Applied Biomathematics, Setauket, NY.;Environmental Research Lab.-Narragansett, Newport, OR. Mark O. Hatfield Marine Science Center.
Publisher Apr 94
Year Published 1994
Report Number EPA-68-CO-0051; EPA/600/R-94/048 ; ERLN-N197
Stock Number PB94-162658
Additional Subjects Environmental monitoring ; Statistical sampling ; Value engineering ; Statistical quality control ; Statistical distributions ; Variance(Statistics) ; Convolution integrals ; Collection methods ; Statistical data ; Mathematical models ; Composite samples ; Grab samples
Library Call Number Additional Info Location Last
NTIS  PB94-162658 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 32p
Composite samples are often used in environmental monitoring programs to reduce costs by decreasing the number of expensive tests that have to be performed. Statistical models for composite sampling are discussed and procedures given for determining the optimal number of primary sampling units to include in each composite sample. For the problem of comparison of means, methods are presented (1) to find the optimum sampling protocol that stays within a fixed budget and (2) to find the least costly sampling protocol that is still able to reliably detect a specific difference in means. Problems with estimating the statistical distribution of the priamry sampling units or of their variance when data have been collected from composite samples are also discussed.