ESTIMATION OF NONSAMPLING VARIANCE COMPONENTS UNDER THE LINEAR MODEL APPROACH

Pulakesh Maiti

doi:https://doi.org/10.59170/stattrans-2009-016

ESTIMATION OF NONSAMPLING VARIANCE COMPONENTS UNDER THE LINEAR MODEL APPROACH

Pulakesh Maiti Indian Statistical Institute, Kolkata. Statistics in Transition new series, vol. 10, 2009, 2, pages: 193-222 Published online: 1 October 2009 https://doi.org/10.59170/stattrans-2009-016

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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.

KEYWORDS

Simple Response Variance, Correlated response variance, Measurement error.

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