Modeling Conditional Yield Densities

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Performance of detrending models of crop yield risk assessment: evaluation on real and hypothetical yield data (2014, background): “For instance, in crop insurance pricing, the trend embodies the change caused by technological progress and long-term environmental impact (Ker and Coble 2003) which is not insured.”
Using Bayesian Kriging for Spatial Smoothing in Crop Insurance Rating (2018, unknown): “The premium rate for county i, premi, for the area yield insurance contract that guarantees the coverage level, say kŷi, (Ker and Coble 2003) is ð18Þ premi¼ Pðyi kŷiÞðkŷi E½ yijyi kŷið Þ Þ kŷi where k is the coverage rate, ŷi is the predicted yield in county i, and the expectation and…”
More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields (2012, unknown): “Gallagher (1987) utilized the Gamma distribution, Moss and Shonkwiler (1993) the inverse hyperbolic sine transformation, Goodwin and Ker (1998) demonstrate the usefulness of nonparametric models, and Ker and Coble (2003) develop a semi-parametric approach.”