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首页> 外文会议>The proceedings of 2010 international conference on probability and statistics of the International Institute for General Systems Studies.;vol. 2.;Applications on probability and statistics >Principal Component Analysis on Gross Output of Agriculture,Forestry, Animal Husbandry and Fishery in China
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Principal Component Analysis on Gross Output of Agriculture,Forestry, Animal Husbandry and Fishery in China

机译：中国农林牧渔业总产值的主成分分析

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摘要

In this paper, the principal component analysis method has been applied in gross output value of agriculture, forestry, animal husbandry and fishery, according to the latest statistics from "China Statistical Yearbook-2008". The results show that: by the first principal component scores sort, the score of Shandong, Henan and Sichuan is the highest, indicating that the three provinces is located in China's top three in gross output value of agriculture, forestry, animal husbandry; by the second principal component score sort, Jiangsu, Fujian and Guangdong are out in the top three, indicating that the three provinces are in the country's leading in gross output value of fishery. The conclusions are in line with the reality of our country, which provide reference for sustainable development of our primary industry.
机译：根据《中国统计年鉴-2008》的最新统计数据，将主成分分析方法应用于农林牧渔业总产值。结果表明：按第一主成分分值排序，山东，河南，四川得分最高，表明三省在农业，林业，畜牧业总产值中均位居中国前三名。通过第二主成分得分排序，江苏，福建和广东名列前三位，表明这三个省的渔业总产值均居全国前列。结论与我国现实相吻合，为我国第一产业的可持续发展提供了参考。

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