Purpose The high degree of likely disruption challenges organizations at all levels to
develop and implement innovative strategies. Ensuring supply chain continuity even during …

Quantile regression allows us to estimate the relationship between covariates and any
quantile of the response variable rather than the mean. Recently, several statistical …

Quantile regression provides a framework for modeling the relationship between a response
variable and covariates using the quantile function. This work proposes a regression model …

Regression models based on the log‐symmetric family of distributions are particularly useful
when the response variable is continuous, positive, and asymmetrically distributed. In this …

In this paper, we propose and derive a new regression model for response variables defined
on the open unit interval. By reparameterizing the unit generalized half-normal distribution …

In the present paper, a novel spatial quantile regression model based on the Birnbaum–
Saunders distribution is formulated. This distribution has been widely studied and applied in …

The continuous Bernoulli distribution is defined on the unit interval and has a unique
property related to fractiles. A fractile is a position on a probability density function where the …

Cokriging is a geostatistical technique that is used for spatial prediction when realizations of
a random field are available. If a secondary variable is cross-correlated with the primary …

This study comprehensively explores the research landscape within statistical and reliability
studies, focusing on the Birnbaum-Saunders distribution, Gaussian inverse distribution …

Sentiment analysis is a cornerstone of natural language processing. However, it presents
formidable challenges due to the intricacies of lexical diversity, complex linguistic structures …