The Beta distribution is the standard model for quantifying the influence of covariates on the
mean of a response variable on the unit interval. However, this well-known distribution is no …

A bounded form of the Teissier distribution, namely the unit Teissier distribution, is
introduced. It is subjected to a thorough examination of its important properties, including …

In this paper we introduce the Kumaraswamy autoregressive moving average models
(KARMA), which is a dynamic class of models for time series taking values in the double …

In many practical situations, there is an interest in modeling bounded random variables in
the interval (0, 1), such as rates, proportions, and indexes. It is important to provide new …

This paper introduces a two‐parameter family of distributions for modelling random
variables on the (0, 1) interval by applying the cumulative distribution function of one …

The Vasicek distribution is a two-parameter probability model with bounded support on the
open unit interval. This distribution allows for different and flexible shapes and plays an …

Lossy compression is widely used to decrease the size of multichannel remote sensing data.
Alongside this positive effect, lossy compression may lead to a negative outcome as making …

Beta regression is often used to model the relationship between a dependent variable that
assumes values on the open interval (0, 1) and a set of predictor variables. An important …

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 …

In this paper we evaluate the performance of point and interval estimators based on the
maximum likelihood (ML) method for the nonlinear simplex regression model. Inferences …