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Use of Random Coefficient Model for Fruit Bearing Prediction in Crop Insurance
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 Title & Authors
Use of Random Coefficient Model for Fruit Bearing Prediction in Crop Insurance
Park Heungsun; Jun Yong-Bum; Gil Young-Soo;
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In order to estimate the damage of orchards due' to natural disasters such as typhoon, severe rain, freezing or frost, it is necessary to estimate the number of fruit bearing before and after the damage. To estimate the fruit bearing after the damages are easily done by delegations, but it cost too high to survey every insured farm household and calculate the fruit bearing before the damage. In this article, we suggest to use a random coefficient model to predict the numbers of fruit bearing in the orchards before the damage based on the tree age and the area information.
General Linear Mixed Model;BLUP;
 Cited by
Harville, D. A. (1976) Extension of the Gauss-Markov Theorem to include the estimation of random effects, Annals of Statistics, 2, 384-395

Longford, N.T. (1995) Random Coefficient Model, Oxford University Press Inc., New York

McCulloch, C. E. and Searle, S. R. (2001) Generalized, Linear, and Mixed Models, Wiley and Sons, New York

McLean, R. A. and Sanders, W. L. (1988). Approximating degrees of freedom for standard errors in mixed linear models, Proceedings of the Statistical Computing Section, New Orleans; American Statistical Association, 50-59

Stroup, W. W.(1989). Predictable functions and prediction space .in the mixed model procedure, in Applications of Mixed Models in Agriculture and Related Disciplines, Southern Cooperative Series Bulletin No.343, Baton Rouge: Lousiana Agricultural Experiment Station, 39-48