|
AgEcon Search >
Canadian Agricultural Economics Society >
Annual Meeting, 2005, July 6-8, San Francisco, CA >
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
|
Files in This Item:
| File |
Size | Format |
| sp05up01.pdf | 177Kb | PDF | View/Open |
|
Recommend this item
All items in AgEcon Search are protected by copyright.
|