基于极大似然法的土壤重金属删失数据的相关性

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Abstract Based on the maximum likelihood method (MLE), the current work proposed a new method for estimating the correlation of censored data thorough constructing the likelihood function under different scenarios. The effects of sample size, censorship ratio, population correlation coefficient and disturbance term on the accuracy of the estimated values were studied. At the same time, the accuracy of MLE was tested by comparing MLE with substitution method (usually replacing the censored part with LOD or LOD/2) and deletion method (directly delete the censored part). The methodology was tested using the Australian census soil data. The results showed that the larger the sample size, the more accurate the MLE results would be. When the sample size reaches 2000, the estimated value has a better stability and is less affected by the censorship ratio. The estimated correlation coefficient of MLE varies less with the censorship ratio (0%~90%) or the population correlation coefficient, demonstrating gradual unbiasedness and consistency. The addition of disturbance terms has less impact on the accuracy of MLE, indicating its strong robustness. The MLE is significantly accurate than that of the deletion and substitution methods. The application of the experimental data showed that in the Australian survey data, Ag and Hg have a high correlation, and the correlation coefficient between Hg and Hf is almost 0.

Key words： soil heavy metal censored data bivariate log-normal distribution maximum likelihood estimation correlation coefficient

Received: 02 March 2022

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X53

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	Articles by authors
	FENG Xu
	SUN Da-quan
	LI Ren-ying
	WANG Li-jun
	HUANG Li-dong

Cite this article:

FENG Xu,SUN Da-quan,LI Ren-ying等. Correlation of soil heavy metal censored data based on maximum likelihood method[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(10): 4713-4719.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I10/4713

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