A GROSS MEASUREMENT ERROR IDENTIFICATION ALGORITHM ON THE MAXIMUM-LIKELIHOOD PRINCIPLE

Authors
ALMASY GA UHRIN B
Citation
Ga. Almasy et B. Uhrin, A GROSS MEASUREMENT ERROR IDENTIFICATION ALGORITHM ON THE MAXIMUM-LIKELIHOOD PRINCIPLE, Hungarian journal of industrial chemistry, 22(2), 1994, pp. 153-160
Citations number
9
Categorie Soggetti
Engineering, Chemical",Chemistry
Journal title
Hungarian journal of industrial chemistry → ACNP
ISSN journal
01330276
Volume
22
Issue
2
Year of publication
1994
Pages
153 - 160
Database
ISI
SICI code
0133-0276(1994)22:2<153:AGMEIA>2.0.ZU;2-W
Abstract
A practical algorithm is proposed to localize and estimate Gross Proce ss Measurement Errors subject to linear constraints. The theoretical b ases are those discussed in a recent paper appearing in this periodica l. The algorithm is compared with three other algorithms. Its main adv antage is that it is theoretically well established and answers exactl y the question of engineering practice.