Parametric covariance models for shock-induced stochastic processes
type: Item
instance of: scholarly article
title: Parametric covariance models for shock-induced stochastic processes
zbMATH Open document ID: 0933.62097
DOI: 10.1016/S0378-3758(98)00186-4
author: Jacqueline M. Hughes-Oliver
author: Graciela Gonzáles-Farias
published in: Journal of Statistical Planning and Inference
publication date: 2000-04-09T00:00:00Z
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 60G12
zbMATH DE Number: 1326653
zbMATH Keywords: covariance nonstationarity
zbMATH Keywords: mean squared prediction error
zbMATH Keywords: point sources
describes a project that uses: FUNFITS
MaRDI profile type: Publication
cites work: Q4039954
cites work: Q4862306
cites work: Q4002793
cites work: Q4884570
cites work: Q4315271
cites work: Local Prediction of a Spatio-Temporal Process with an Application to Wet Sulfate Deposition
cites work: Parametric nonstationary correlation models
cites work: Achieving Uniformity in a Semiconductor Fabrication Process Using Spatial Modeling
cites work: Maximum likelihood estimation of models for residual covariance in spatial regression
cites work: Spatial variation. 2nd ed
cites work: Q4249293
cites work: Design and analysis of computer experiments. With comments and a rejoinder by the authors
cites work: Correlation theory of stationary and related random functions. Volume II: Supplementary notes and references
full work available at URL: s0378-3758(98)00186-4
OpenAlex ID: W2011061066
description: scientific article; zbMATH DE number 1326653