PONDERACIONES OPTIMAS: OTRA MIRADA A LA MINIMIZACION DEL ERROR EN LA ESTRATIFICACION

Authors

  • Carlos Bouza Departamento de Matemática Aplicada, Facultad de Matemática y Computación, Universidad de La Habana
  • Sira Allende Departamento de Matemática Aplicada, Facultad de Matemática y Computación, Universidad de La Habana

Keywords:

Minimum variance, Neymann allocation, superpopulation model

Abstract

The determination of optimal strata weights for minimizing the variance is analysed. It appears as an adequate option for deriving smaller variance´s values than with the classic approach. The use of a superpopulation model enhances to obtain proxys to the unknown parameters needed for calculating the minimum variance estimates. Some examples are worked out for illustrating the behavior of the proposal.

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Published

2023-06-20

How to Cite

Bouza, C., & Allende, S. (2023). PONDERACIONES OPTIMAS: OTRA MIRADA A LA MINIMIZACION DEL ERROR EN LA ESTRATIFICACION. Investigación Operacional, 24(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6752

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