An Implementation Strategy for Efficient Convergence of the Lavallee and Hidiroglou Stratification Algorithm
Patricia Gunning, Jane M. Horgan, Gary Keogh,
The iterative procedure of Lavallée and Hidiroglou (1988) for stratifying skewed populations into a certainty stratum, where all the units are examined, and a number of noncertainty strata, which are sampled, has been found to have convergence problems. In this article we present a strategy for implementing the algorithm, which improves its convergence and in many cases results in smaller sample sizes than those obtained with the traditional implementation.
Boundaries, geometric progression, Neyman allocation, noncertainty stratum, power allocation, skewness