Many techniques in survey sampling depend on the possession of information about an auxiliary variable x, or a vector of auxiliary variables, available for the entire population. Regression estimates ...

This is a preview. Log in through your library . Abstract This note explores variance estimation of a combined ratio estimator from a purely model-based viewpoint. It shows that given a sample ...

Recently, analysis of variance (ANOVA) random effects models have been applied to data sets consisting of repeated measurements of pollutants within factories in order to identify determinants of ...

In this sense, the proposed method is an extension of the variance of the regression estimator for two-stage sampling. The method is applied to quarterly data from the Labor Force Survey where ...

Financial institutions have to add a margin of conservatism of type C (MoC C) to their estimates of probability of default in order to account for the statistical uncertainty involved. European ...

This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...