Abstract
An example of a random error is used to indicate the dependence of the accuracy of an interval estimate of the error of a secondary standard on the knowledge of its actual distribution law. A problem is formulated for determining a model of the distribution law of the random error of a secondary standard.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
REFERENCES
RMG 29–99. Metrology. Fundamental Terms and Definitions [in Russian], State System for the Unity of Measurements (GSI).
GOST 8.381–80. Standards. Methods for Expressing Errors [in Russian], State System for the Unity of Measurements (GSI).
E. S. Venttsel' and L. A. Ovcharov, Probability Theory and Its Engineering Applications [in Russian], Nauka, Moscow (1988).
R. M. Yusupov (ed.), Statistical Methods for Processing the Results of Observations [in Russian], Ministry of Defense of the USSR, Leningrad (1985).
P. V. Novitskii and I. A. Zograf, Estimating the Errors of Measuring Instruments [in Russian], Énergoatomizdat, Leningrad (1985).
V. A. Kuznetsov and G. V. Yalunina, Principles of Metrology [in Russian], Izdatel'stvo Standartov (1995).
V. Ya. Rozenberg, Introduction to the Theory of the Accuracy of Measuring Systems [in Russian], Sovetskoe Radio, Moscow (1975).
Rights and permissions
About this article
Cite this article
Yashin, A.V. Determination of the Distribution Laws of Random Errors of Secondary Standards. Measurement Techniques 46, 13–17 (2003). https://doi.org/10.1023/A:1023401203480
Issue Date:
DOI: https://doi.org/10.1023/A:1023401203480