Asymptotic properties of nonparametric quantile estimation with spatial dependency

SHA Kanga, O Hili, S Dabo‐Niang… - Statistica …, 2023 - Wiley Online Library
The purpose of this work is to nonparametrically estimate the conditional quantile for a
locally stationary multivariate spatial process. The new kernel quantile estimate derived from …

Statistical inference for irregularly spaced spatial data

T Eckle - 2022 - hss-opus.ub.ruhr-uni-bochum.de
Die Arbeit befasst sich mit statistischen Verfahren zur Analyse zufällig verteilter räumlicher
Daten. Nach einer allgemeinen Einleitung in das Forschungsfeld wird die Methode des …

A spectral domain test of isotropic properties for irregularly spaced spatial data

S Zhang - Journal of Statistical Computation and Simulation, 2021 - Taylor & Francis
In modelling spatial data, it is a crucial aspect to specify the covariance function of the
random field appropriately. For the sake of simplicity, the spatial isotropy is often assumed …

[PDF][PDF] Spatial MCUSUM Control Chart

JDR Gordillo, RDG Gonzalez - Revista Colombiana de …, 2020 - pdfs.semanticscholar.org
This paper proposes a spatial multivariate CUSUM control chart in order to monitor the
mean of a single characteristic of a product or process, when the measurements are taken in …

Spatial MCUSUM Control Chart

JD Rojas, RDG Gonzalez - Revista Colombiana de Estadística, 2020 - revistas.unal.edu.co
This paper proposes a spatial multivariate CUSUM control chart in order to monitor the
mean of a single characteristic of a product or process, when the measurements are taken in …