MODELING NONNORHALITY IN MULTIVARIATE DISTRIBUTIONS USING AN INVERSE HYPERBOLIC SINE TRANSFORMATION TO NORMALITY

During the past twenty years there has been a growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, the literature has recognized the possibility of nonnormality of yields and prices. This study demonstrates one approach to modeling nonnormality in crop yields over time. Specifically, this study estimates an inverse hyperbolic sine transformation of crop yields in the southeastern United States.


Issue Date:
1991-03
Publication Type:
Conference Paper/ Presentation
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/271548
Language:
English
Total Pages:
24




 Record created 2018-04-17, last modified 2020-10-28

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