The improved artificial bee colony algorithm for mixed additive and multiplicative random error model and the bootstrap method for its precision estimation

To solve the complex weight matrix derivative problem when using the weighted least squares method to estimate the parameters of the mixed additive and multiplicative random error model (MAM error model), we use an improved artificial bee colony algorithm without derivative and the bootstrap method...

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Veröffentlicht in:	Geodesy and Geodynamics Jg. 14; H. 3; S. 244 - 253
Hauptverfasser:	Wang, Leyang, Han, Shuhao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2023 KeAi Communications Co., Ltd
Schlagworte:	Accuracy evaluation Artificial bee colony algorithm Bootstrap method Mixed additive and multiplicative random error Parameter estimation Artificial bee colony algorithm Parameter estimation Bootstrap method Mixed additive and multiplicative random error Accuracy evaluation
ISSN:	1674-9847
Online-Zugang:	Volltext
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