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Space‐time modelling of trends in temperature series

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  • Peter F. Craigmile
  • Peter Guttorp

Abstract

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  • Peter F. Craigmile & Peter Guttorp, 2011. "Space‐time modelling of trends in temperature series," Journal of Time Series Analysis, Wiley Blackwell, vol. 32, pages 378-395, July.
    • Handle: RePEc:bla:jtsera:v:32:y:2011:i::p:378-395
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    Cited by:

    1. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    2. T. Subba Rao & Gyorgy Terdik, 2017. "A New Covariance Function and Spatio-Temporal Prediction (Kriging) for A Stationary Spatio-Temporal Random Process," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 936-959, November.
    3. Jorge Castillo-Mateo & Miguel Lafuente & Jesús Asín & Ana C. Cebrián & Alan E. Gelfand & Jesús Abaurrea, 2022. "Spatial Modeling of Day-Within-Year Temperature Time Series: An Examination of Daily Maximum Temperatures in Aragón, Spain," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 487-505, September.
    4. Michee Arnold Lachaud & Boris E. Bravo-Ureta & Carlos E. Ludena, 2017. "Agricultural productivity in Latin America and the Caribbean in the presence of unobserved heterogeneity and climatic effects," Climatic Change, Springer, vol. 143(3), pages 445-460, August.

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