Results 21 to 30 of about 215,880 (264)

Survival Benefit of Palliative Primary Tumor Resection Based on Tumor Location in Patients with Metastatic Colorectal Cancer: A Single-center Retrospective Study

open access: yesThe Korean Journal of Gastroenterology, 2020
Background/Aims: The molecular underpinnings of colorectal cancer (CRC) vary according to the tumor location. The advantages of a palliative primary tumor resection in patients with metastatic CRC are controversial.
Jae Hyun Kim   +9 more
doaj   +1 more source

Mapping foreign immigration in Spain (1998–2018). Trends and spatial patterns

open access: yesJournal of Maps, 2021
The last 20 years of sociodemographic history in Spain cannot be interpreted without considering the impact of foreign immigration, numerous publications have shown.
Juan M. Parreño-Castellano   +3 more
doaj   +1 more source

Estimation of Error Variance-Covariance Parameters Using Multivariate Geographically Weighted Regression Model

open access: yesAbstract and Applied Analysis, 2020
The Multivariate Geographically Weighted Regression (MGWR) model is a development of the Geographically Weighted Regression (GWR) model that takes into account spatial heterogeneity and autocorrelation error factors that are localized at each observation
Sri Harini
doaj   +1 more source

Projection estimates of multivariate location

open access: yesThe Annals of Statistics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adrover, Jorge, Yohai, Víctor
openaire   +3 more sources

A Smooth Nonparametric, Multivariate, Mixed-Data Location-Scale Test [PDF]

open access: yesSSRN Electronic Journal, 2017
A number of tests have been proposed for assessing the location-scale assumption that is often invoked by practitioners. Existing approaches include Kolmogorov–Smirnov and Cramer–von Mises statistics that each involve measures of divergence between unknown joint distribution functions and products of marginal distributions.
Racine, Jeffrey S., Van Keilegom, Ingrid
openaire   +6 more sources

Minimax bounds for estimating multivariate Gaussian location mixtures [PDF]

open access: yesElectronic Journal of Statistics, 2022
We prove minimax bounds for estimating Gaussian location mixtures on $\mathbb{R}^d$ under the squared $L^2$ and the squared Hellinger loss functions. Under the squared $L^2$ loss, we prove that the minimax rate is upper and lower bounded by a constant multiple of $n^{-1}(\log n)^{d/2}$. Under the squared Hellinger loss, we consider two subclasses based
Kim, Arlene K. H.   +1 more
openaire   +2 more sources

A New Nonparametric Test for Two Sample Multivariate Location Problem with Application to Astronomy

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
This paper provides a nonparametric test for the identity of two multivariate continuous distribution functions when they differ in locations. The test uses Wilcoxon rank-sum statistics on distances between observations for each of the components and is ...
Soumita Modak, Uttam Bandyopadhyay
doaj   +1 more source

Border tissue morphology is associated with the pattern of visual field progression in open-angle glaucoma

open access: yesScientific Reports, 2022
The etiology of open-angle glaucoma (OAG) is yet unclear. This study investigated possible risk factors, such as the morphology of the border tissue that affect the pattern of visual field (VF) progression in eyes with OAG.
Hyun Joo Kee   +7 more
doaj   +1 more source

On Some Shrinkage Estimators of Multivariate Location

open access: yesThe Annals of Statistics, 1985
Let \(F_{\theta}\) be a p (\(\geq 1)\) variate continuous distribution function (d.f.) defined on the Euclidean space \(E^ p\). The d.f. \(F_{\theta}\) is assumed to be diagonally symmetric about its location \(\theta =(\theta_ 1,...,\theta_ p)^ T\). In a shrinkage estimation problem, one has, a priori, some reason to believe that \(\theta\) is likely ...
Sen, Pranab Kumar   +1 more
openaire   +3 more sources

Computing the Oja Median in R: The Package OjaNP

open access: yesJournal of Statistical Software, 2020
The Oja median is one of several extensions of the univariate median to the multivariate case. It has many desirable properties, but is computationally demanding.
Daniel Fischer   +5 more
doaj   +1 more source

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