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Author
Maiti Pulakesh (Indian Statistical Institute, Kolkata)
Title
Estimation of Nonsampling Variance Components Under the Linear Model Approach
Source
Statistics in Transition, 2009, vol. 10, nr 2, s. 193-222, tab., bibliogr. s. 221-222
Keyword
Estymacja, Modele liniowe, Błędy pomiarowe
Estimation, Linear models, Measuring errors
Note
summ.
Abstract
The importance of nonsample or measurement errors has long been recognized. [for numerous references see e.g., the comprehensive papers by Mahalanobis (1946), Hansen et.al. (1961), Bailar and Dalenius (1970), Dalenius (1974)]. Attempts have been made for estimating components due to nonsampling errors. The work in this area starts developing surveys, specifically_designed to incorporate features which can facilitate the estimation of non sampling components such as reinterviews and/or interpenetrating samples. However most of the survey designs so far developed, though few, are very complex in nature [Fellegi (1964, 1974), Biemen et al. (1985), Folsom(1980), Nelson(1974)]. Here, a very simple survey design as well as a simple estimation procedure have been developed for the purpose of estimating simple as well as correlated response variances, namely interviewer variance and superviser variance. (original abstract)
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Bibliography
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ISSN
1234-7655
Language
eng
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