New relevance and significance measures to replace p-values.

Autor: Werner A Stahel

Publikováno v: PLoS ONE, Vol 16, Iss 6, p e0252991 (2021)

The p-value has been debated exorbitantly in the last decades, experiencing fierce critique, but also finding some advocates. The fundamental issue with its misleading interpretation stems from its common use for testing the unrealistic null hypothes

Externí odkaz: https://doaj.org/article/82174219063748e5a3f986de2dfd280d

Nonsingular subsampling for regression S estimators with categorical predictors

Autor: Werner A. Stahel, Manuel Koller

Publikováno v: Koller, Manuel; Stahel, Werner A. (2017). Nonsingular subsampling for regression S estimators with categorical predictors. Computational Statistics, 32(2), pp. 631-646. Springer 10.1007/s00180-016-0679-x

Simple random subsampling is an integral part of S estimation algorithms for linear regression. Subsamples are required to be nonsingular. Usually, discarding a singular subsample and drawing a new one leads to a sufficient number of non- singular su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b549d0f2d257a162d084350fcf5149af
https://doi.org/10.1007/s00180-016-0679-x

spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process

Autor: Fabio Sigrist, Hans R. Künsch, Werner A. Stahel

Publikováno v: Journal of Statistical Software, Vol 63, Iss 1, Pp 1-23 (2015)
Journal of Statistical Software; Vol 63 (2015); 1-23
Journal of Statistical Software, 63 (14)

The R package spate implements methodology for modeling of large space-time data sets. A spatio-temporal Gaussian process is defined through a stochastic partial differential equation (SPDE) which is solved using spectral methods. In contrast to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5a2ca4ff869863118e96d5c930af33d
http://www.jstatsoft.org/index.php/jss/article/view/2229

Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial

Autor: Robert Riener, Anja Kollmar, Armin Curt, Tobias Nef, Andreas R. Luft, Morena Felder, Verena Klamroth-Marganska, Corina Schuster-Amft, Volker Dietz, Bernd A. G. Fellinghauer, Katrin Campen, Werner A. Stahel, Thierry Ettlin, Javier Blanco, Marco Guidali

Publikováno v: The Lancet Neurology. 13:159-166

Summary Background Arm hemiparesis secondary to stroke is common and disabling. We aimed to assess whether robotic training of an affected arm with ARMin—an exoskeleton robot that allows task-specific training in three dimensions—reduces motor im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46e14b625056e6f0bc277c3ce2edcea9
https://doi.org/10.1016/s1474-4422(13)70305-3

Sharpening Wald-type inference in robust regression for small samples

Autor: Werner A. Stahel, Manuel Koller

Publikováno v: Computational Statistics & Data Analysis. 55:2504-2515

The datasets used in statistical analyses are often small in the sense that the number of observations n is less than 5 times the number of parameters p to be estimated. In contrast, methods of robust regression are usually optimized in terms of asym

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5c5a44940fc8f4a035db329ab19abcc
https://doi.org/10.1016/j.csda.2011.02.014