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Communications in Statistics - Theory and Methods Volume 25, 1996 - Issue 3
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Original Articles

Estimation and smoothing from incomplete data for a class of lattice processes

F.J. Alonso Departamento de Estadística e I.O., Campus de Fuentenueva s/n. Universidad de Granada, Granada, El8071, Spain
,
J.M. Angulo Departamento de Estadística e I.O., Campus de Fuentenueva s/n. Universidad de Granada, Granada, El8071, Spain
&
M.C. Bueso Departamento de Estadística e I.O., Campus de Fuentenueva s/n. Universidad de Granada, Granada, El8071, Spain
Pages 667-681 | Received 01 Apr 1994, Published online: 25 Feb 2009

Citations (5)

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Read on this site (1)

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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Articles from other publishers (4)

Rosa M. Crujeiras, Rubén Fernández-Casal & Wenceslao González-Manteiga. (2009) Goodness-of-fit tests for the spatial spectral density. Stochastic Environmental Research and Risk Assessment 24:1, pages 67-79.
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Rosa M. Crujeiras, Rubén Fernández-Casal & Wenceslao González-Manteiga. (2007) Comparing spatial dependence structures using spectral density estimators. Environmetrics 18:7, pages 793-808.
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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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M.C. Bueso, J.M. Angulo, G. Qian & F.J. Alonso. (1999) Spatial Sampling Design Based on Stochastic Complexity. Journal of Multivariate Analysis 71:1, pages 94-110.
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