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VARIANCE ESTIMATION WITH HIGHLY STRATIFIED SAMPLING DESIGNS WITH UNEQUAL PROBABILITIES
Author(s) -
Berger Yves G.
Publication year - 2005
Publication title -
australian and new zealand journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 1369-1473
DOI - 10.1111/j.1467-842x.2005.00401.x
Subject(s) - estimator , stratified sampling , mathematics , statistics , variance (accounting) , sampling design , estimation , sampling (signal processing) , simple random sample , one way analysis of variance , econometrics , analysis of variance , computer science , engineering , systems engineering , population , demography , accounting , filter (signal processing) , sociology , business , computer vision
Summary It is common practice to design a survey with a large number of strata. However, in this case the usual techniques for variance estimation can be inaccurate. This paper proposes a variance estimator for estimators of totals. The method proposed can be implemented with standard statistical packages without any specific programming, as it involves simple techniques of estimation, such as regression fitting.