Geodesic
The Density of the Parameter Estimators when the Observations are Distributed Exponentially.
Metrika, Tome 44 (1996) no. 3, pp. 9-26.

Voir la notice de l'article provenant de la source European Digital Mathematics Library

Mots-clés : posterior modus, -divergence, geometry in statistics, reliability, uniform prior, density approximation, curved coordinates, density of parameter estimators, exponential law, software reliability, GLIM modeling, maximum of the posterior probability density, maximal likelihood estimator 
@article{MET_1996__44_3_176665,
     author = {Andrej P\^azman},
     title = {The {Density} of the {Parameter} {Estimators} when the {Observations} are {Distributed} {Exponentially.}},
     journal = {Metrika},
     pages = {9--26},
     publisher = {mathdoc},
     volume = {44},
     number = {3},
     year = {1996},
     zbl = {0864.62005},
     url = {http://geodesic.mathdoc.fr/item/MET_1996__44_3_176665/}
}
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Andrej Pâzman. The Density of the Parameter Estimators when the Observations are Distributed Exponentially.. Metrika, Tome 44 (1996) no. 3, pp. 9-26. http://geodesic.mathdoc.fr/item/MET_1996__44_3_176665/