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A. Philip Dawid (1980)
Trabajos de Estadística e Investigación Operativa
The elimination of nuisance parameters has classically been tackled by various ad hoc devices, and has led to a number of attemps to define partial sufficiency and ancillarity. The Bayesian approach is clearly defined. This paper examines some classical procedures in order to see when they can be given a Bayesian justification.
J. PFANZAGL (1974)
Metrika
W. Fieger, W. Bischoff, H. Cremers (1987)
Metrika
Basu, D., Cheng, S.C. (1981)
International Journal of Mathematics and Mathematical Sciences
Friedrich Liese, Ingo Steinke (1997)
Kybernetika
J. Pfanzagl (1981)
Metrika
Andrej Pázman (1989)
Kybernetika
Irena Wistuba (1983)
Applicationes Mathematicae
Charles B. Bell (1985)
Trabajos de Estadística e Investigación Operativa
Se construyen algunos tests para varias hipótesis paramétricas y no paramétricas. La metodología utiliza un nuevo sistema de coordinados, cuyos componentes son el estadístico suficiente mínimo y un estadístico independiente y complementario a tal estadístico.
Carter, Andrew V. (2009)
Journal of Probability and Statistics
Werner Flacke, Norbert Therstappen (1979)
Annales de l'I.H.P. Probabilités et statistiques
L.J. Willson, J.L. Folks, J.H. Young (1986)
Metrika
Roman Zmyślony (1980)
Banach Center Publications
Ivan Volný (1978)
Commentationes Mathematicae Universitatis Carolinae
Andrzej Kornacki (2007)
Mathematica Slovaca
Tomáš Mrkvička (2007)
Commentationes Mathematicae Universitatis Carolinae
The minimum variance unbiased estimator of the intensity of intersections is found for stationary Poisson process of segments with parameterized distribution of primary grain with known and unknown parameters. The minimum variance unbiased estimators are compared with commonly used estimators.
Ian Hepburn Dinwoodie (2010)
ESAIM: Probability and Statistics
An iterative method based on a fixed-point property is proposed for finding maximum likelihood estimators for parameters in a model of network reliability with spatial dependence. The method is shown to converge at a geometric rate under natural conditions on data.
Ian Hepburn Dinwoodie (2005)
ESAIM: Probability and Statistics
An iterative method based on a fixed-point property is proposed for finding maximum likelihood estimators for parameters in a model of network reliability with spatial dependence. The method is shown to converge at a geometric rate under natural conditions on data.
H.J. Malik (1970)
Metrika
Tomáš Mrkvička (2004)
Commentationes Mathematicae Universitatis Carolinae
A complete and sufficient statistic is found for stationary marked Poisson processes with a parametric distribution of marks. Then this statistic is used to derive the uniformly best unbiased estimator for the length density of a Poisson or Cox segment process with a parametric primary grain distribution. It is the number of segments with reference point within the sampling window divided by the window volume and multiplied by the uniformly best unbiased estimator of the mean segment length.
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