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 ...
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 18, No. 2 (Jun., 1990), pp. 149-153 (5 pages) We show that the jackknife technique fails badly when applied to the problem ...
In order to evaluate the statistical properties of the variance components method implemented in SOLAR and GENEHUNTER2, the type I error rate, power and estimated ...
On the Use of the Factor-Sparsity Assumption to Get an Estimate of the Variance in Saturated Designs
In unreplicated multifactor designs, it is customary to nominate some factor interactions as not active-that is, to assume that they have no influence on the response-and to use the corresponding sums ...
The SURVEYMEANS procedure uses the Taylor expansion method to estimate sampling errors of estimators based on complex sample designs. This method obtains a linear approximation for the estimator and ...
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