Reference Hub

This research has been cited in:

Conference
Comparation in application of recursive estimation and control of the real DC motor parameters in adaptive pole placement control system and adaptive system with self-tuning regulator with minimum variance2020 International Conference Automatics and Informatics (ICAI)10.1109/ICAI50593.2020.9311296
Conference
Quadcopter’s telemetry parameters and their recursive estimates2022 International Conference Automatics and Informatics (ICAI)10.1109/ICAI55857.2022.9960010
Conference
Recursive Estimation Library For Education2023 International Conference Automatics and Informatics (ICAI)10.1109/ICAI58806.2023.10339057

Two-step Procedure Based on the Least Squares and Instrumental Variable Methods for Simultaneous Estimation of von Bertalanffy Growth Parameters

Ivelina Yordanova Zlateva, Nikola Nikolov

Source Title: International Journal of Agricultural and Environmental Information Systems (IJAEIS)10(2)

ISSN: 1947-3192|EISSN: 1947-3206|EISBN13: 9781522566731|DOI: 10.4018/IJAEIS.2019040103

Cite Article Cite Article

MLA

Zlateva, Ivelina Yordanova, and Nikola Nikolov. "Two-step Procedure Based on the Least Squares and Instrumental Variable Methods for Simultaneous Estimation of von Bertalanffy Growth Parameters." IJAEIS vol.10, no.2 2019: pp.49-81. http://doi.org/10.4018/IJAEIS.2019040103

APA

Zlateva, I. Y. & Nikolov, N. (2019). Two-step Procedure Based on the Least Squares and Instrumental Variable Methods for Simultaneous Estimation of von Bertalanffy Growth Parameters. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 10(2), 49-81. http://doi.org/10.4018/IJAEIS.2019040103

Chicago

Zlateva, Ivelina Yordanova, and Nikola Nikolov. "Two-step Procedure Based on the Least Squares and Instrumental Variable Methods for Simultaneous Estimation of von Bertalanffy Growth Parameters," International Journal of Agricultural and Environmental Information Systems (IJAEIS) 10, no.2: 49-81. http://doi.org/10.4018/IJAEIS.2019040103

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

Advanced in the present article is a Two-step procedure designed on the methods of the least squares (LS) and instrumental variable (IV) techniques for simultaneous estimation of the three unknown parameters L∞, K and t0, which represent the individual growth of fish in the von Bertalanffy growth equation. For the purposes of the present analysis, specific MATLAB-based software has been developed through simulated data sets to test the operational workability of the proposed procedure and pinpoint areas of improvement. The resulting parameter estimates have been analyzed on the basis of consecutive comparison (the initial conditions being the same) between the results delivered by the two-step procedure for simultaneous estimation of L∞, K and t0 and the results obtained via the most commonly employed methods for estimating growth parameters; first, use has been made of the Gulland-and-Holt method for estimating the asymptotic length L∞and the curvature parameter K, followed by the von Bertalanffy method for estimation of t0.