Non-parametric method for filling in the missing value for cross-sectional dataset: A validation on the per capita GDP data at county level in China

Journal of Food, Agriculture and Environment

Volumn 10, Issue 3-4, 2012, Pages 1350-1354

  Deng, Xiangzheng ^a   Fang, Yin ^a,b   Lin, Yingzhi ^c   Yuan, Yongwei ^d  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c CHINA UNIVERSITY OF GEOSCIENCES   (China)

^d HUBEI UNIVERSITY   (China)

Author keywords

China; Interpolation; Non parametric method; Per capita GDP; Stepwise multiple regression

Indexed keywords

RAIN;

AIR TEMPERATURE; ARTICLE; CHINA; CLIMATE; ECONOMIC ASPECT; EXPLANATORY VARIABLE; GROSS DOMESTIC PRODUCTION; HISTOGRAM; LAND USE; METEOROLOGY; NONPARAMETRIC TEST; PROBABILITY; RELIABILITY; SOCIOECONOMICS; SOIL PROPERTY;

EID: 84873515496     PISSN: 14590255     EISSN: 14590263     Source Type: Journal    
DOI: None     Document Type: Article

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