DOI: 10.31274/rtd-180813-13827
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Analysis of multivariate spatial data using latent variables

Abstract: Introduction 2 The generalized shifted-factor model 3 Identification and interpretation of shifts 10 4 Estimation, inference, and prediction 12 5 Simulation results References 26 LATENT VARIABLE MODELING OF MULTIVARIATE SPATIAL

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“…In all simulations and the example to follow, SS(È) in (13) was minimized using a modi ed Gauss-Newton algorithm discussed by Christensen (1999) that is robust in the presence of near-singular matrix inversions. Parameter estimation and all other calculations were performed in S-PLUS.…”
Section: Evaluation Of Estimation Approachesmentioning
confidence: 99%
“…In all simulations and the example to follow, SS(È) in (13) was minimized using a modi ed Gauss-Newton algorithm discussed by Christensen (1999) that is robust in the presence of near-singular matrix inversions. Parameter estimation and all other calculations were performed in S-PLUS.…”
Section: Evaluation Of Estimation Approachesmentioning
confidence: 99%