Complex schemes of filtering in experimental data estimation

Authors:
Alexander V. Zorin
Affiliations:
Saint Petersburg State University, Department of Mathematics and Mechanics, Saint Petersburg, Russia
Venue:
MCBC'07 Proceedings of the 8th Conference on 8th WSEAS Int. Conference on Mathematics and Computers in Biology and Chemistry - Volume 8
Year:
2007

Citing 2
Cited 0

Estimating the Parameters of Linear Regression in an Arbitrary Noise

Automation and Remote Control
Introduction to Stochastic Search and Optimization

Introduction to Stochastic Search and Optimization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Scope of the work is the decision of a high accuracy experimental data reception problem in medical, ecological and chemical data processing software. Using complex schemes of filtering improves reception of experimental data with high reliability. Approach of data acquisition about random parameter with a required degree of reliability is investigated. The approach is used for control of experimental stochastic parameter on the basis of the found interval estimations regression dependences [1,2].