UTILIZACIÓN DE INFORMACIÓN AUXILIAR PARA LA ESTIMACIÓN DE LAGOS CON RIESGO DE ACIDIFICACIÓN

Abstract

In this work we have collected estimators of the population proportion through the use of auxiliary information under simple
random sampling. We analyzed the main properties of these estimators. Theorethical properties suggest that the estimators
with use of auxiliary information can outperform alternative methods, and the results derived from a Monte Carlo simulation
study support this view. Has made an application on a population of Risk of Acidication in Lakes in the Northeastern states of
the U.S. conducted by the Environmental Monitoring and Assessment Program of the US Environmental Protection Agency.
In the application we have compared the different estimators each other with the standard stimators.