The Density of the Parameter Estimators when the Observations are Distributed Exponentially.
Metrika (1996)
- Volume: 44, Issue: 1, page 9-26
- ISSN: 0026-1335; 1435-926X/e
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topPâzman, Andrej. "The Density of the Parameter Estimators when the Observations are Distributed Exponentially.." Metrika 44.1 (1996): 9-26. <http://eudml.org/doc/176665>.
@article{Pâzman1996,
author = {Pâzman, Andrej},
journal = {Metrika},
keywords = {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},
number = {1},
pages = {9-26},
title = {The Density of the Parameter Estimators when the Observations are Distributed Exponentially.},
url = {http://eudml.org/doc/176665},
volume = {44},
year = {1996},
}
TY - JOUR
AU - Pâzman, Andrej
TI - The Density of the Parameter Estimators when the Observations are Distributed Exponentially.
JO - Metrika
PY - 1996
VL - 44
IS - 1
SP - 9
EP - 26
KW - 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
UR - http://eudml.org/doc/176665
ER -
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