Optimal allocation in balanced sampling

Tillé, Yves; Favre, Anne-Catherine

doi:10.1016/j.spl.2005.04.027

Optimal allocation in balanced sampling

Author(s)

Tillé, Yves

Chaire de statistique appliquée

Favre, Anne-Catherine

Groupe de statistiques appliquées

Date issued

2005

In

Statistics & Probability Letters, Elsevier

Vol

74

No

1

From page

31

To page

37

Subjects

balanced sampling optimal inclusion probabilities variance minimization Neyman’s allocation

Abstract

The development of new sampling methods allows the selection of large balanced samples. In this paper we propose a method for computing optimal inclusion probabilities for balanced samples. Next, we show that the optimal Neyman allocation is a particular case of this method.