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Original Articles

Information loss due to incomplete data from a spatial gaussian one-parameter first-order conditional process

Pages 4631-4645 | Received 01 Mar 1989, Published online: 27 Jun 2007

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Read on this site (5)

F.J. Alonso, J.M. Angulo & M.C. Bueso. (1997) Application of em-type algorithms to spatial data. Communications in Statistics - Theory and Methods 26:3, pages 669-683.
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F.J. Alonso, J.M. Angulo & M.C. Bueso. (1996) Estimation and smoothing from incomplete data for a class of lattice processes. Communications in Statistics - Theory and Methods 25:3, pages 667-681.
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T. Krug & R.J. Martin. (1995) Information loss on the dependence parameter due to incomplete data from a one-parameter spatial gaussian process. Communications in Statistics - Theory and Methods 24:12, pages 3055-3072.
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R. J. Martin. (1992) Leverage, influence and residuals in regression models when observations are correlated. Communications in Statistics - Theory and Methods 21:5, pages 1183-1212.
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T. Krug & R. J. Martin. (1991) Information loss on the mean for spatial processes when some values are missing. Communications in Statistics - Theory and Methods 20:7, pages 2169-2194.
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Articles from other publishers (2)

Robert Haining. 2010. Spatial Data Analysis. Spatial Data Analysis.
M.C. Bueso, G. Qian & J.M. Angulo. (1999) Stochastic complexity and model selection from incomplete data. Journal of Statistical Planning and Inference 76:1-2, pages 273-284.
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