DBPapers
DOI:10.5593/SGEM2013/BB2.V1/S08.032

STATISTICAL PROCESSING OF LAMINAR WATER FLOW DATA – NONLINEAR REGRESSION BASED APPROACH

P. Tucek, M. Tuckova, L. Marek, J. Burian
Monday 5 August 2013 by Libadmin2013

References: 13th SGEM GeoConference on Informatics, Geoinformatics And Remote Sensing, www.sgem.org, SGEM2013 Conference Proceedings, ISBN 978-954-91818-9-0 / ISSN 1314-2704, June 16-22, 2013, Vol. 1, 543 - 550 pp

ABSTRACT

The main goal of this article is to determine the regression model for the water flow problem and to find estimators of all included parameters. The problem of the water flow modeling could be described by the nonlinear function. This is the reason, why the theory of nonlinear regression models could be used in order to find the solution. Numerical studies will prove the suitability of designed models.

Keywords: Linear and nonlinear regression models, two-stage models with constraints of type II, BLUE, linearization, water flow problem, streamlin

Home | Contact | Site Map | Site statistics | Visitors : 101 / 353063

Follow site activity en  Follow site activity GEOINFORMATICS  Follow site activity Papers SGEM2013   ?

CrossRef Member    Indexed in ISI Web Of Knowledge   Indexed in ISI Web Of Knowledge
   

© Copyright 2001 International Multidisciplinary Scientific GeoConference & EXPO SGEM. All Rights Reserved.

Creative Commons License