Even in the best survey some data are missing. Here we consider the situation in which for some units the principal item is missing but we have the response to another variable. We propose a new estimator which is an apllication of the regression technique.This new estimator improves the efficiency.

Merulla, P., Pollastri, A. (2000). Improvement of the estimator of the mean in presence of partial respondents. In O. Walenty (a cura di), Aspects of Quality of Life (pp. 229-250). Wroclaw : Wroclaw University of Economics Publishing House.

Improvement of the estimator of the mean in presence of partial respondents

POLLASTRI, ANGIOLA
2000

Abstract

Even in the best survey some data are missing. Here we consider the situation in which for some units the principal item is missing but we have the response to another variable. We propose a new estimator which is an apllication of the regression technique.This new estimator improves the efficiency.
Capitolo o saggio
partial missing survey response; regression technique
English
Aspects of Quality of Life
Merulla, P., Pollastri, A. (2000). Improvement of the estimator of the mean in presence of partial respondents. In O. Walenty (a cura di), Aspects of Quality of Life (pp. 229-250). Wroclaw : Wroclaw University of Economics Publishing House.
Merulla, P; Pollastri, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/5108
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