Ortiz Camacho, Abner

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Aplicación de técnicas geo-estadísticas para estimar prevalencia de roya en café
(2014-06) Ortiz Camacho, Abner; Macchiavelli, Raúl E.; College of Arts and Sciences - Sciences; Lorenzo González, Edgardo; Rivera Marrero, Olgamary; Department of Mathematics; Acosta, Jaime
Two geo-statistical generalized linear models were fitted in a lot of coffee with a high incidence of rust. The models assumed normal distribution and binomial distribution, using different correlation functions and empirical semivariograms. Comparing the values of the AIC, BIC, mean estimation, correlation parameters estimation, pre- dicted incidence maps, residuals maps, and the sums of the square error, the normal exponential model is the best fit to data. This model has a smaller sum of squared errors than the binomial exponential model. Furthermore, the predicted incidence by this model is similar to the observed incidence of the disease. The normal exponential model provides a clearer picture to understand how the disease spreads in the region of study.