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The Bayesian approach in regression models has shown good results in parameter estimations,where it can increase accuracy and precision. The objective of the current study was to analyze the applicationof Bayesian statistics to the modeling yield for leaf... see more

The use of mobile applications is increasingly important in daily life in the digital era. However, the abundance of application choices in the Play Store makes it difficult for users to choose the right application according to their needs. Not only that... see more

Accurate and efficient estimation of streamflow in a watershed’s tributaries is prerequisite parameter for viable water resources management. This study couples process-driven and data-driven methods of streamflow forecasting as a more efficient and cost-... see more

Justificativa e Objetivos: Alagoas configura-se como um estado brasileiro no qual a hanseníase encontra-se eliminada, todavia há evidências de que se trata de uma pseudo eliminação. Neste sentido o objetivo do estudo foi analisar a dinâmica temporal e esp... see more

The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computational tools used in modern Bayesian econometrics.  Some of the most important methods of posterior simulation are Monte Carlo integration, importance ... see more

Regression test case prioritization is used to improve certain performance goals. Limited resources force to choose an effective prioritization technique, which makes an ordering of the test cases so that the most suitable test case will be executed first... see more

The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computational tools used in modern Bayesian econometrics.  Some of the most important methods of posterior simulation are Monte Carlo integration, importance ... see more

This is an ecological study with exploratory analysis of spatial and temporal data based on mortality data with respect to prostate cancer obtained from the Mortality Information System concerning residents of the state of Sergipe, Brazil between 2000 and... see more

Survival analysis is a statistical procedure for analyzing data by observing the response variable in the form of event time data from the beginning of recording to the end of the event. Survival analysis is used in many fields of medicine. The cox propor... see more

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