THE HORVITZ-THOMPSON THEOREM AS A UNIFYING PERSPECTIVE FOR PROBABILITY-SAMPLING - WITH EXAMPLES FROM NATURAL-RESOURCE SAMPLING

Citation
Ws. Overton et Sv. Stehman, THE HORVITZ-THOMPSON THEOREM AS A UNIFYING PERSPECTIVE FOR PROBABILITY-SAMPLING - WITH EXAMPLES FROM NATURAL-RESOURCE SAMPLING, The American statistician, 49(3), 1995, pp. 261-268
Citations number
27
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
ISSN journal
00031305
Volume
49
Issue
3
Year of publication
1995
Pages
261 - 268
Database
ISI
SICI code
0003-1305(1995)49:3<261:THTAAU>2.0.ZU;2-5
Abstract
Courses in sampling often lack a coherent structure because many relat ed sampling designs, estimators, variances, and variance estimators ar e presented as separate cases. The Horvitz-Thompson theorem offers a n eeded integrating perspective for teaching the methods and fundamental concepts of probability sampling. Development of basic concepts in sa mpling via this approach provides the student with tools to solve more complicated problems, and helps to avoid some common stumbling blocks of beginning students, Examples from natural resource sampling are pr ovided to illustrate applications and insight gained from this approac h.