Use of Box-Cox Transformation Technique for Fitting Crop Yield Trends
1983
Lin, Kuang-Hsing T. | Huang, Chung-Liang
There is a need for a more general approach to selecting appropriate models for transformation of long-term crop yield data prior to statistical analysis without a priori restrictions about the mathematical form of the model. A least restrictive formulation about the functional specification of a model is less likely to lead to erroneous results. The objective of the study is to illustrate a general approach to model selection via application of the Box-Cox transformation technique to estimate national yield trends for corn (Zea mays L.), wheat (Triticum aestivum L.), and soybean [Glycine max (L.) Merr.] during the period 1960-1979. Results suggest that corn and wheat yields were approaching a plateau level whereas soybeans showed no indication of levelling off of yields.
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