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General estimation of static model parameters and systematic measurement errors
Volume 1, Issue 2 (1990), pp. 87–95
Antanas Nemura  

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https://doi.org/10.3233/INF-1990-1205
Pub. online: 1 January 1990      Type: Research Article     

Published
1 January 1990

Abstract

The present paper considers the problem of general estimation of static model parameters and systematic measurement errors. The general estimation algorithm is based on static model linearization and on the least-squares method. The efficiency of this algorithm is illustrated by means of computer-aided digital simulation. The obtained equations and the algorithm of general estimation of static model parameters and systematic measurement errors can be applied for the solution of different practical problems. Estimatibility conditions must be satisfied in all cases.

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Keywords
model linearization least-squares estimates recursive estimation

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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