Read more
Zusatztext This book was written by renowned experts in the field! and thus it is no surprise that they did an excellent job ? The bibliography is very comprehensive! and the subject and author indexes are well designed. Numerous examples and exercises illustrate the theoretical developments ? I am convinced that this book is absolutely worth having.-Daniel Mandallaz! JASA! 2008I expect to use Sampling Strategies for Natural Resources and the Environment for some of my environmental science and statistics classes and as a reliable professional reference for many years.-Anthony J. Sadar! Pollution Equipment News! 2007 Informationen zum Autor Timothy G. Gregoire, Harry T. Valentine Klappentext Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used by practitioners and researchers in natural resource and environmental disciplines. Designed to be less theoretical in nature than many texts, it provides essential mathematical derivations in the chapter appendices. The book presents unique, detailed treatments of importance sampling, plot sampling, Bitterlich sampling, line intersect sampling, and the edge-effect problem. Other distinguishing features include discussions of randomized branch sampling, ranked set sampling, 3P sampling, and sampling with partial replacement. Zusammenfassung Covers the sampling techniques used in ecology, forestry, environmental science, and natural resources. This book presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis. It explores more specialized designs for sampling vegetation, including randomized branch sampling and 3P sampling. Inhaltsverzeichnis Introduction. Sampling Distribution of an Estimator. Sampling Designs for Discrete Populations. Sampling Designs for Continuous Populations. Stratified Sampling Designs. Using Auxiliary Information to Improve Estimation. Sampling with Fixed Area Plots. Bitterlich Sampling. Line Intersect Sampling. A Monte Carlo Integration Approach to Areal Sampling. Miscellaneous Methods. Two-Stage Sampling. Randomized Branch Sampling. Sampling with Partial Replacement. Bibliography. Index....
