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Statistical techniques for sampling and monitoring natural resourcesAuthor(s): Hans T. Schreuder; Richard Ernst; Hugo Ramirez-Maldonado
Source: Gen. Tech. Rep. RMRS-GTR-126. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 111 p.
Publication Series: General Technical Report (GTR)
Station: Rocky Mountain Research Station
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DescriptionWe present the statistical theory of inventory and monitoring from a probabilistic point of view. We start with the basics and show the interrelationships between designs and estimators illustrating the methods with a small artificial population as well as with a mapped realistic population. For such applications, useful open source software is given in Appendix 4. Various sources of ancillary information are described and applications of the sampling strategies are discussed. Classical and bootstrap variance estimators are discussed also. Numerous problems with solutions are given, often based on the experiences of the authors. Key additional references are cited as needed or desired.
January 11, 2011: Errata sheet added for equation corrections on page 26 and 27.
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CitationSchreuder, Hans T.; Ernst, Richard; Ramirez-Maldonado, Hugo. 2004. Statistical techniques for sampling and monitoring natural resources. Gen. Tech. Rep. RMRS-GTR-126. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 111 p.
Keywordsinventory and monitoring, statistical theory, artificial population, mapped realistic population, classical variance estimators, bootstrap variance estimators
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