The beta regression model is commonly used when analyzing data that come in the form of
rates or percentages. However, a problem that may encounter when analyzing these kinds …

The linear regression model is not applicable when the response variable's value comes in
percentages, proportions, and rates, which are restricted to the interval (0, 1). In this …

The beta regression is a widely known statistical model when the response (or the
dependent) variable has the form of fractions or percentages. In most of the situations in beta …

The beta regression model is a commonly used when the response variable has the form of
fractions or percentages. The maximum likelihood (ML) estimator is used to estimate the …

The linear regression model becomes unsuitable when the response variable is expressed
as percentages, proportions, and rates. The beta regression (BR) model is more appropriate …

We propose two new residuals that can be used to evaluate the bias and variance of
nonlinear simplex regressions for machine learning. Such models are supervised learning …

The Beta Regression Model (BRM) is commonly used while analyzing data where the
dependent variable is restricted to the interval $[0, 1] $ for example proportion or probability …

Beta regressions describe the relationship between a response that assumes values in the
zero-one range and covariates. These regressions are used for modeling rates, ratios, and …

Beta regression (BR) models provide an adequate approach for modeling continuous
outcomes of limited intervals (0, 1). The BR model assumes that the dependent variable …

Beta regression models are widely used for modeling continuous data limited to the unit
interval, such as proportions, fractions, and rates. The inference for the parameters of beta …