Beta regression models provide an adequate approach for modeling continuous outcomes limited to the interval (0, 1). This paper deals with an extension of beta regression models that allow for explanatory variables to be measured with error. The structural approach, in which the covariates measured with error are assumed to be random variables, is employed. Three estimation methods are presente...

Introduction: Rapid changes in lifestyle, especially in nutritional aspects of the elderly, have led to many chronic diseases. Therefore, attention to nutritional needs of the elderly is an essential issue. The purpose of this study was to determine the predictors of healthy nutrition behaviors based on health belief model (HBM) in the elderlies of Kalat city, Razavi Khorasan Province, Iran.. ...

In this paper joint mean and variance beta regression models are proposed. The proposed models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. An analysis of structural and real data is included, assuming the proposed model, together with a comparison of the result obtained assuming joint modeling of the mean and precision parameters.

Since the first case was detected on March 3, 2020, incidence of COVID-19 has exponentially increased in Jakarta. Some theories claimed that virus activities were affected by climate variability. The aim this study is to search and predict correlation between daily incidences with variability A cross sectional made, sampling total cases Jakarta from 3 July 2020. Climate consisted mean temperatu...

We consider the problem of predicting total Indian summer monsoon rainfall (ISMR). A popular approach in prior literature [1], [2] has been to fit a regression model with the precipitation as predictand and various climatological indices and parameters as predictors. The predictor climatological indices and parameters are detected through an analysis of their linear correlations with the Indian...