Neural network imputation: an experience with the national resources inventory survey

DOI10.1198/108571108X337394zbMath1306.62311MaRDI QIDQ2259923

Curtis Miller, Tapabrata Maiti, Pushpal K. Mukhopadhyay

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

zbMATH Keywords

feedforward neural networkcover and crop management factorhotdeck imputationuniversal soil loss equation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Cites Work

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• Model assisted survey sampling
• Nonparametric Model Calibration Estimation in Survey Sampling
• The elements of statistical learning. Data mining, inference, and prediction

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