Ridge Estimation Iterative Method for Illness Data Processing
Abstract Ridge estimation usually cannot be counted singly to bring the mean square error to a minimum. So, this paper proposes a ridge estimation iterative method. The ridge estimation parameter is brought into the adjustment model, the observation vector is updated, and the parameters are solved again by the ridge estimation method. The iteration is used to calculate the variance and deviation of every iteration and terminates when the mean square error reaches the minimum or the convergence. The results show that the method is effective and feasible; an example is given to demonstrate the iterative method of ridge estimation.
Key words :
ridge estimation
variance
deviation
iteration
mean square error
Cite this article:
WU Guangming,LU Tieding. Ridge Estimation Iterative Method for Illness Data Processing[J]. jgg, 2019, 39(2): 178-183.
WU Guangming,LU Tieding. Ridge Estimation Iterative Method for Illness Data Processing[J]. jgg, 2019, 39(2): 178-183.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2019/V39/I2/178
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