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 …

In this article, we propose generalized two-parameter (GTP) estimators and an algorithm for
the estimation of shrinkage parameters to combat multicollinearity in the multinomial logit …

A new modified ridge-type estimator for the beta regression model: simulation and application
Page 1 AIMS Mathematics, 7(1): 1035–1057. DOI: 10.3934/math.2022062 Received: 02 July …

In the current article, we develop the Aslam-Ahmad estimator ie the modified Liu-ridge-type
estimator as proposed by Aslam and Ahmad [Aslam M, Ahmad S. The modified Liu-ridge …

Recently, the beta regression model has been used in several fields of science to model
data in the form of rate or proportion. In this paper, some novel and improved methods to …

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 …

Recently, many authors have been motivated to propose a new regression estimator in the
case of multicollinearity. The most well-known of these estimators are ridge, Liu and Liu-type …

In the field of chemical data modeling, it is common to encounter response variables that are
constrained to the interval (0, 1). In such cases, the beta regression model is often a more …