Box-Cox transformation for spatial linear models: a study on lattice data

DOI10.1007/S00362-008-0178-4zbMath1247.62227OpenAlexW1988055858MaRDI QIDQ451460

Dejian Lai

Publication date: 23 September 2012

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-008-0178-4

zbMATH Keywords

simultaneous autoregressive modelconditional autoregressive modelGeary's \(c\)maximal likelihood estimationMoran's \(I\)

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Point estimation (62F10)

Related Items (3)

A new method to build spatio-temporal covariance functions: analysis of ozone data ⋮ Correlation is first order independent of transformation ⋮ A Methodology to Implement Box-Cox Transformation When No Covariate is Available

Cites Work

• Applied Spatial Statistics for Public Health Data
• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
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