The Density of the Parameter Estimators when the Observations are Distributed Exponentially.
Metrika, Tome 44 (1996) no. 3, pp. 9-26
Cet article a éte moissonné depuis 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},
year = {1996},
volume = {44},
number = {3},
zbl = {0864.62005},
url = {http://geodesic.mathdoc.fr/item/MET_1996__44_3_176665/}
}
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/