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Parameters estimation of beta bivariate distribution: applications in disease severity in plants Beta distribution is suitable for analyzing variable data measured in the range (0, 1), as rates and proportions, such as the proportion of disease severity in plants. Therefore, data that are paired observations rates and proportions naturally thinks in a bivariate distribution beta supported (0, 1). The objective of this work is on finding the best beta bivariate distribution in the literature for this case and, furthermore, try to find estimators for its parameters in order to verify that this chosen distribution fits the data well. A methodology was created for the estimation of parameters using that distribution we consider the most appropriate. Later simulations were performed to evaluate the quality of these estimators and, finally, we use three databases in order to illustrate this methodology.

Estimação dos parâmetros da distribuição beta bivariada: aplicações em severidade de doenças em plantas