TESTS FOR SPATIAL AND TEMPORAL CORRELATION IN MIXED MODELS FOR CLIMATE DATA
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- Type
- article
- Published
- 2014-01-01
- Cited by
- 1
- References
- 21
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- https://openalex.org/W2552554619
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54821126
Keywords
Likelihood-ratio test, Restricted maximum likelihood, Mathematics, Statistics, Likelihood principle
References
- Mixed-Effects Models in S and S-PLUS
- An Introduction to Applied Geostatistics: by Edward H. Isaaks and R. Mohan Srivastava, 1989, Oxford University Press, New York, 561 p., ISBN 0-19-505012-6, ISBN 0-19-505013-4 (paperback), 55.00 cloth, 35.00 paper (US)
- Spatio-temporal stationary covariance models
- Families of spatio-temporal stationary covariance models
- Analysis of covariance in the mixed model: higher-level, nonhomogeneous, and random regressions.
- Recovery of inter-block information when block sizes are unequal
- Space–Time Covariance Functions
- Hierarchical Modeling and Analysis for Spatial Data
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions
- Variance components testing in the longitudinal mixed effects model.
- Restricted Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models
- Methods for generating non-separable spatiotemporal covariance models with potential environmental applications
- Classes of nonseparable, spatio-temporal stationary covariance functions
- Monthly Average Temperature Modeling in an Intertropical Region
- Statistics for Spatial Data.
- Stat 598 Presentation on Nonseperable, Stationary Covariance Functions for Space-Time Data
- Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood.
- 5. Statistics for Spatial Data
- Linear Mixed Models for Longitudinal Data
- the El-Nino (ENSO) Phenomenon
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