ROBUST ESTIMATION OF STATIONARY PROCESS

Authors

  • Nickolay Petrov
  • Tania Pehlivanova

DOI:

https://doi.org/10.47839/ijc.3.2.291

Keywords:

Robust estimation, random processes, precision of the measurement, stochastic measurements

Abstract

The use of microprocessor measurement system gives the opportunity to improve the precision of the measurements. It is possible by realization of algorithms, taking in to account the changing conditions of measurement experiment. In the paper it is suggested an adaptive algorithm for calculation of the mathematical expectation MX in the conditions of insufficient knowledge about the interval of correlation.

References

Petrov N. Operate Reliability of Risk Technical Systems. Publishing house “Uchkov”, Yambol, Bulgaria, ISBN 954-9978-26-5,2002.

Cvetcov E, Basic theory of the statistical value. Peterburg, Russia,1986

Kolev N, I. Kalchev. Failure Model and Effect Analysis Applied to the Quality Control in Production. I. “Technical Ideas”, vol.XXXIX, N 1-2, 2002, p.p.140-145.

Petrov N., G Panajotova, M. Dulgerova. Untrivial lows of the Distribution Using for Research of the Risk Technical Systems. Collections Papers “Asen Zlatarov” University – Burgas, Bulgaria, 2003.

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Published

2014-08-01

How to Cite

Petrov, N., & Pehlivanova, T. (2014). ROBUST ESTIMATION OF STATIONARY PROCESS. International Journal of Computing, 3(2), 88-90. https://doi.org/10.47839/ijc.3.2.291

Issue

2004, Volume 3, Issue 2

Section

Articles

License

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