# 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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