Identifikace parametrů deterministických modelů - užití metod kvadratického programování
| Title in English | Identifuing the parameters of deterministic models - using quadratic programming methods |
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| Authors | |
| Year of publication | 2011 |
| Type | Article in Proceedings |
| Conference | Biometric Methods and Models in Current Science and Research. Proceedings |
| MU Faculty or unit | |
| Citation | |
| Field | Applied statistics, operation research |
| Keywords | matrix population model; parameters identification; quadratic programming; Coccinellidae; leukaemia |
| Description | Deterministic dynamical models represent a tool for a description of a biological system evolution, namely, of a structured population or interacting populations in (aggro)-ecosystems ones. Such models contain certain number of parameters. To apply the models, one need to identify or to estimate these parameters from field or experimental data. The contribution presents a modification of least-squares method for parameters estimation which leads to a quadratic programming problem. The method is applied to a succession of seven-spot ladybird population on corn and to a leukaemia-free survival of patients. |