Zobrazeno 1 - 4
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pro vyhledávání: '"Jürgen Pilz"'
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 26:925-945
A new bivariate pseudo Pareto distribution is proposed, and its distributional characteristics are investigated. The parameters of this distribution are estimated by the moment-, the maximum likelihood- and the Bayesian method. Point estimators of th
Autor:
Hannes Kazianka, Jürgen Pilz
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 24:661-673
It is common in geostatistics to use the variogram to describe the spatial dependence structure and to use kriging as the spatial prediction methodology. Both methods are sensitive to outlying observations and are strongly influenced by the marginal
Autor:
Gunter Spöck, Jürgen Pilz
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 24:463-482
This paper presents new ideas on sampling design and minimax prediction in a geostatistical model setting. Both presented methodologies are based on regression design ideas. For this reason the appendix of this paper gives an introduction to optimum
Autor:
Jürgen Pilz, Gunter Spöck
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 22:621-632
The spatial prediction methodology that has become known under the heading of kriging is largely based on the assumptions that the underlying random field is Gaussian and the covariance function is exactly known. In practical applications, however, t