Abstract
The question of how to fit a general cubic model of a multicomponent, interactive growth system to observed data is addressed. A multidimensional-polynomial type of regression analysis is used, with a least-squares criterion. By testing the scheme on a problem with known solution, the way in which the accuracy of the results varies with the number of datum points used is investigated in an heuristic manner.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Literature
Chambers, J. M. 1973. “Fitting Nonlinear Models: Numerical Techniques”,Biometrika,60, 1–13.
Huddleston, J. V., C. G. DeWald and H. N. Jagadeesh. 1974. “A Dynamic Model of an Environmental System withn Interacting Components andp Degrees of Freedom”,Bull. Math. Biol.,36, 91–96.
—. 1974. “Optimality in the Control of Environmental Systems,”,36, 341–345.
Volterra, V., 1931.Lecons sur la Théorie de la Lutte pour la Vie. Paris: Gauthier-Villars.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Huddleston, J.V. The fitting of dynamic models to observed data. Bltn Mathcal Biology 38, 445–452 (1976). https://doi.org/10.1007/BF02462218
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02462218