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Towards optimal regression estimation in sample surveys
Auteur(s)
Date de parution
2003-3-24
In
Australian and New Zealand Journal of Statistics
Vol.
3
No
45
De la page
319
A la page
329
Résumé
The Montanari (1987) regression estimator is optimal when the population regression coefficients are known. When the coefficients are estimated, the Montanari estimator is not optimal and can be extremely volatile. Using design-based arguments, this paper proposes a simpler and better alternative to the Montanari estimator that is also optimal when the population regression coefficients are known. Moreover, it can be easily implemented as it involves standard weighted least squares. The estimator is applicable under single stage stratified sampling with unequal probabilities within each stratum.
Identifiants
Type de publication
journal article
