||Environmental Sampling and Monitoring.
Stehman, S. V. ;
Overton, W. S. ;
||Sunny-ESF, Syracuse, NY. ;Oregon State Univ., Corvallis.;Corvallis Environmental Research Lab., OR.
Probability theory ;
Environmental monitoring ;
Environmental surveys ;
Statistical inference ;
Experimental design ;
Statistical data ;
Probability sampling ;
EMAP(Environmental Monitoring Assessment Program) ;
NSS(National Stream Survey) ;
NLS(National Lake Survey)
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||Methods of probability sampling provide a rigorous protocol by which scientifically reliable information on environmental issues may be obtained. The authors review fundamentals of probability sampling from the perspective of monitoring environmental resources. They first describe basic concepts and definitions of sampling, such as the sampling universe, population, and design-based inference. As the natural, general-estimator for probability sampling designs, the Horvitz-Thompson estimator provides the basis of a coherent strategy of consistent estimation. Rather than repeat descriptions of basic sampling designs available in many texts, they discuss practical implications of a few standard designs useful in environmental sampling. Topics in spatial sampling and monitoring over time are discussed, as are the role and implications of analytic uses of surveys. (Copyright (c) 1994 Elsevier Science B. V.)
||Pub. in Handbook of Statistics, Chapter 9, v12 p263-306 1994. See also PB92-103449. Prepared in cooperation with Oregon State Univ., Corvallis. Sponsored by Corvallis Environmental Research Lab., OR.
|NTIS Title Notes
||Reprint: Environmental Sampling and Monitoring.
||PC A03/MF A01