Estimation of Nonsampling Variance Components Under the Linear Model Approach

• Autorzy: Pulakesh Maiti
• Języki publikacji: EN

Abstrakty

EN

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)

Słowa kluczowe

EN

Estimation; Linear models; Measuring errors

PL

Estymacja; Modele liniowe; Błędy pomiarowe

• Czasopismo: Statistics in Transition
• Rocznik: 2009
• Tom: 10
• Numer: nr 2
• Strony: 193--222

Twórcy

autor

Pulakesh Maiti

• Indian Statistical Institute, Kolkata

Bibliografia

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