In this study, the Variational Bayes (VB) approach was hybridized with the bootstrap prior
procedure to improve the accuracy of subset selection as well as optimizing the algorithm …

Internet traffic data such as the number of transmitted packets and time spent on the
transmission of Internet protocols (IPs) have been shown to exhibit self-similar property …

Asymptotic theories for fractional cointegrations have been extensively studied in the context
of time series data, with numerous empirical studies and tests having been developed …

Fractional cointegration in time series data has been explored by several authors, but panel
data applications have been largely neglected. A previous study of ours discovered that the …

The Weibull, log-logistic and log-normal distributions represent the heavy-tailed distributions
that are often used in modelling time-to-event data. While the loglogistic and log-normal …

Several authors have studied fractional cointegration in time series data, but little or no
consideration has been extended to panel data settings. Therefore, in this paper, we …

Lung cancer remains one of the leading causes of cancer-related mortality worldwide,
underscoring the critical need for effective prognostic tools. This study utilizes survival …

Cancer is the second most prevalent cause of mortality globally as per the World Health
Organization. Among the various types of cancer, lung cancer is particularly fatal and ranks …

Due to the discovery of numerous cancer types, the risk of mortality among people has
significantly increased. In Malaysia, lung cancer is one of the top five cancers that affect both …

This study aims to extend the generalized exponential model (GEM) to include covariates in
the presence of interval-censored data. The maximum likelihood estimator (MLE) was …