On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy and entropy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10172753" target="_blank" >RIV/00216208:11320/13:10172753 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy and entropy

Popis výsledku v původním jazyce

Every process in our environment can be described with a statistical model containing inner properties expressed by parameters. These are usually unknown and the determination of their values is of interest in the statistical branch called parameter estimation. This branch involves many methods solving different estimation cases, e.g. the estimation of location and scale parameters. To obtain the parameter estimate we exploit the data given by data sources. In particular, the estimate is their combination. Improvement of the parameter estimates involve the assignment of the weights to the data sources resulting in a weighted combination of data. In this paper we focus on the derivation of the weights arisen within the Supra-Bayesian approach and on thesimulation study of their behaviour and the behaviour of the final estimate.

Název v anglickém jazyce

On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy and entropy

Popis výsledku anglicky

Every process in our environment can be described with a statistical model containing inner properties expressed by parameters. These are usually unknown and the determination of their values is of interest in the statistical branch called parameter estimation. This branch involves many methods solving different estimation cases, e.g. the estimation of location and scale parameters. To obtain the parameter estimate we exploit the data given by data sources. In particular, the estimate is their combination. Improvement of the parameter estimates involve the assignment of the weights to the data sources resulting in a weighted combination of data. In this paper we focus on the derivation of the weights arisen within the Supra-Bayesian approach and on thesimulation study of their behaviour and the behaviour of the final estimate.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BD - Teorie informace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Pliska Studia Mathematica Bulgarica

ISSN

0204-9805

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

BG - Bulharská republika

Počet stran výsledku

10

Strana od-do

159-168

Kód UT WoS článku

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EID výsledku v databázi Scopus

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