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

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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 
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/
@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},
     year = {1996},
     volume = {44},
     number = {3},
     zbl = {0864.62005},
     url = {http://geodesic.mathdoc.fr/item/MET_1996__44_3_176665/}
}
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