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Please use this identifier to cite or link to this item: http://purl.umn.edu/34161

Title: Modeling Crop Yield Distributions from Small Samples
Authors: Upadhyay, Bharat Mani
Smith, Elwin G.
Authors (Email): Upadhyay, Bharat (upadhyayb@agr.gc.ca)
Smith, Elwin (smithel@agr.gc.ca)
Issue Date: 2005
Series/Report no.: Selected Paper
Abstract: Accurately modeling crop yield distributions is important for estimation of crop insurance premiums and farm risk-management decisions. A major challenge in the modeling has been due to small sample size. This study evaluated potentials of L-moments, a recent concept in mathematical statistics, in modeling crop yield distribution. Five candidate distributions were ranked for describing the wheat yields. The selected distribution was robust for small sample and was invariant to de-trending. The result was consistent with that from the maximum likelihood and goodness-of-fit method.
URI: http://purl.umn.edu/34161
Institution/Association: Canadian Agricultural Economics Society>Annual Meeting, 2005, July 6-8, San Francisco, CA
Total Pages: 23
Language: English
Collections:Annual Meeting, 2005, July 6-8, San Francisco, CA

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