Optimization Online


Informatively optimal levels of confidence for mesurement uncertainty

David Kisets(davein***at***netvision.net.il)

Abstract: The conception of dimensional perfection and based on principles of qualimetry and information theory the criterion of informational optimality have been used for analyzing modeling functions of measurement. By means of variances of uncertainty contributions, transformed into their relative weights, the possibility of determining informatively rational and optimal levels of confidence for expanded uncertainty has been demonstrated. Commonly used 95% level of confidence has been analyzed for establishing an extent of corresponding to the proposed new approach and proven as being optimally redundant. The author believes that this paper may be of interest and practical value for professionals engaged in improving metrological estimations.

Keywords: Information optimality; Perfect numerical ratios; Optimal redundancy; Measurement uncertainty; Level of confidence

Category 1: Applications -- Science and Engineering (Other )

Category 2: Other Topics (Other )

Citation: JD 10.0.3-1 Report on scientific work. "Informatively optimal combining, expanding, and establishing traceability in evaluating measurement uncertainties". The National Physical Laboratory of Israel (INPL). Jerusalem, 2011.

Download: [PDF]

Entry Submitted: 10/13/2011
Entry Accepted: 10/13/2011
Entry Last Modified: 10/13/2011

Modify/Update this entry

  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository


Coordinator's Board
Classification Scheme
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Optimization Society