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Based on the problem how to model Seemingly Unrelated linear models with different batches of samples, the paper raises the method of getting rid of the stale and taking in the fresh. The method of taking in the fresh is that first, with a group of samples gotten to establish the linear model and receive least squares estimation; Second , the second batch of samples of data is received, re-use the...
Due to the difference of received satellite's observational error distributions relative to the receiver in satellite positioning, the least square estimation is not the best linear unbiased estimation and this causes bias in positioning result. The weight least square method is adopted in order to satisfy the best linear unbiased estimation and improve positioning accuracy. Weight factor model was...
A genetic algorithm (GA) and generalized least squares (GLS)-based approach, hereafter called GA-GLS, is proposed to solve geophysical optimized inversion. In this method, GA is exploited to initialize nonlinear parameter estimation, and GLS is used for accurate local search. Here, we compare the results from GA, GLS, and proposed GA-GLS to invert the synthesized potential field. The results show...
According to Principle of New Information Priority in grey theory, giving the new information larger weight in modeling can improve the effectiveness of gray model. For the GM (1, 1)model has very small samples, and the high overall simulation accuracy does not necessarily guarantee high prediction accuracy, we put forward weighted least square method to estimate parameters in GM (1, 1) model. Focusing...
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