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Article
On expectations associated with maximum likelihood estimation in the Weibull distribution
This short paper outlines a framework for deriving the expectations associated with maximum likelihood estimation in the two parameter Weibull distribution; these expectations involve tenns appearing in the de...
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Article
Polynomial expansions in likelihoods for spatial data: A case study
This paper illustrates the computational benefits of polynomial representations for quantities in the likelihood function for the spatial linear model based on the power covariance scheme. These benefits inclu...
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Article
Comment onestimation of the transfer function by autoregressive deconvolution techniques—An application to time series analysis by Y. S. Kang, J. J. Royer, Cl. Chambon, and L. Demassieux
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Article
On maximum likelihood estimation of parameters in incorrectly specified models of covariance for spatial data
The analysis of, and from, models of spatial data usually proceeds under the assumption, often implicit, that the correct model has been specified. However, any model identification procedures based on sample ...