About: Heuristics and H-optimum Estimators in a Model with Type-I Constraints

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The aim in linear statistical models is to determine an estimator of the unknown parameters on the basis of the observation vector. One possible approach used mainly in geodetic measurements is known as H-optimum estimator. This paper deals with problem of connecting measurements where boundaries of estimators dispersion are previously known. The H-optimum estimators seem to be appropriate for reducing the influence of B-type metrological uncertainty on the estimator in connecting measurement. However in this case, general H-optimum estimators do not solve the problem of bounded dispersion completely. Heuristic methods such as algorithm complex method help us to extend H-optimum estimator theory so given dispersion boundaries could be satisfied. Presented paper describes standard theory of H-optimum estimators and its extension with heuristics utilization. Finally, qualities of extended H-optimum estimator are shown by solving illustration example. The aim in linear statistical models is to determine an estimator of the unknown parameters on the basis of the observation vector. One possible approach used mainly in geodetic measurements is known as H-optimum estimator. This paper deals with problem of connecting measurements where boundaries of estimators dispersion are previously known. The H-optimum estimators seem to be appropriate for reducing the influence of B-type metrological uncertainty on the estimator in connecting measurement. However in this case, general H-optimum estimators do not solve the problem of bounded dispersion completely. Heuristic methods such as algorithm complex method help us to extend H-optimum estimator theory so given dispersion boundaries could be satisfied. Presented paper describes standard theory of H-optimum estimators and its extension with heuristics utilization. Finally, qualities of extended H-optimum estimator are shown by solving illustration example. (en)
Title	Heuristics and H-optimum Estimators in a Model with Type-I Constraints Heuristics and H-optimum Estimators in a Model with Type-I Constraints (en)
skos:prefLabel	Heuristics and H-optimum Estimators in a Model with Type-I Constraints Heuristics and H-optimum Estimators in a Model with Type-I Constraints (en)
skos:notation	RIV/00216275:25530/14:39899012!RIV15-MSM-25530___
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(EE2.3.30.0058)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Dvořáková, Jana Marek, Jaroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Pardubice / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	19007
http://linked.open...ai/riv/idVysledku	RIV/00216275:25530/14:39899012
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Algorithm complex method, linear statistical model, H-optimum estimators, BLUE, uncertainty of types A and B, covariance matrix, problem of bounds for dispersion of estimators (en)
http://linked.open.../riv/klicoveSlovo	covariance matrix Algorithm complex method H-optimum estimators problem of bounds for dispersion of estimators uncertainty of types A and B linear statistical model BLUE
http://linked.open...ontrolniKodProRIV	[5C080C5EC3AF]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Development of Research Teams at the University of Pardubice
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Heckenbergerová, Jana Marek, Jaroslav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-23 (xsd:date)
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-08155-7
http://localhost/t...ganizacniJednotka	25530

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