Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jürgen Pilz"'
Publikováno v:
Statistical Methods & Applications. 23:123-148
This paper introduces a new bivariate exponential distribution, called the Bivariate Affine-Linear Exponential distribution, to model moderately negative dependent data. The construction and characteristics of the proposed bivariate distribution are
Publikováno v:
Computers & Geosciences. 54:269-278
Modeling the acidity in rainfall at certain locations is a complex task because of different environmental conditions for different rainfall regimes and the large variability in the covariates involved. In this paper, concentration of acidity and maj
Autor:
Hannes Kazianka, Jürgen Pilz
Publikováno v:
Canadian Journal of Statistics. 40:304-327
The authors develop default priors for the Gaussian random field model that includes a nugget parameter accounting for the effects of microscale variations and measurement errors. They present the independence Jeffreys prior, the Jeffreys-rule prior
Publikováno v:
Spatial Statistics. 1:65-81
The goal of the present paper is to report on some recent advances, which we have made over the last five years, in spatial interpolation and sampling design in case of uncertainty about the parameters of common geostatistical models and non-Gaussian
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
Publikováno v:
Journal of Applied Statistics. 38:1801-1817
In this paper, we study a new Bayesian approach for the analysis of linearly mixed structures. In particular, we consider the case of hyperspectral images, which have to be decomposed into a collection of distinct spectra, called endmembers, and a se
Publikováno v:
Microelectronics Reliability. 51:1464-1468
Reliability prediction of semiconductor devices gains importance, since demand increases and resources, e.g. time, are restricted. Normally, methods focusing on technology aspects are applied. This work presents a more mathematical approach by using
Autor:
J. Gladitz, Jürgen Pilz
Publikováno v:
Series Statistics. 13:371-385
We consider the problem of optimal experimental design in random coefficient regression models with respect to a quadratic loss function. By application of WHITTLE'S general equivalence theorem we obtain the structure of optimal designs. An alogrithm