Let Z (s)=(Z 1 (s),…, Z p (s)) t be an isotropic second-order stationary multivariate spatial
process. We measure the statistical association between the p random components of Z with …

In this paper, we obtain a saddlepoint approximation for the small sample distribution of
several variogram estimators such as the classical Matheron's estimator, some M-estimators …

The small sample distribution of the trimmed mean is usually approximated by a Student'st
distribution. But this approximation is valid only when the observations come from a …

In this paper we obtain a linear approximation to the power function of a test that is very
accurate for small sample sizes. This is especially useful for robust tests where not many …

La mayoría de los Métodos Estadísticos habitualmente utilizados, requieren de unas
suposiciones, como la normalidad de los datos, la cual habitualmente no se tiene y, lo que …

In some statistical methods, the statistical information is provided in terms of the values used
by classical estimators, such as the sample mean and sample variance. These estimations …

The α-trimmed mean, a statistic commonly used in robustness studies, has an intractable
small sample distribution. For this reason, an asymptotic normal distribution or a Student t …

In this paper, we propose a method to choose a test result from several competing ones. The
choice is based on the p value under the alternative, ie, the probability of obtaining an …

Let Z (s)=(Z1 (s),..., Zp (s)) t be an isotropic second-order stationary multivariate spatial
process. We measure the statistical association between the p random components of Z with …

The main characteristics of robust tests, such as the power function, are computed using the
asymptotic distribution of the robust test statistics because the finite sample one is …