The setting where an unknown number m of the largest data
is missing from an underlying Pareto-type distribution is considered. Solutions
are provided for estimating the extreme value index, the number
of missing data ...
Guan, Ting; Chapman, Mimi V.; Zerden, Lisa de Saxe; Sharma, Anjalee; Chen, Ding-Geng (Din); Song, Lixin(Springer, 2023-03)
PURPOSE : Illness uncertainty is widely recognized as a psychosocial stressor for cancer survivors and their family caregivers. This systematic review and meta-analysis aimed to identify the sociodemographic, physical, and ...
Skhosana, Sphiwe B.; Millard, Salomon M.; Kanfer, F.H.J. (Frans)(Springer, 2024-05)
Semi-parametric Gaussian mixtures of non-parametric regressions (SPGMNRs) are a flexible extension of Gaussian mixtures of linear regressions (GMLRs). The model assumes that the component regression functions (CRFs) are ...
Du Plessis, Tamarisk; Ramkilawon, Gopika; Duncombe Rae, William Ian; Botha, Tanita; Martinson, Neil A.; Dixon, S.A.P.; Kyme, Andre; Sathekge, Mike Machaba(Springer, 2023-09)
PURPOSE: Accurate segmentation (separating diseased portions of the lung from normal appearing lung) is a challenge in radiomic studies of non-neoplastic diseases, such as pulmonary tuberculosis (PTB). In this study, we ...
BACKGROUND: Mature age admission at universities is increasing rapidly all over the world and
Ghanaian universities, both private and public, are no exception. The language proficiency of
the admitted mature students, ...
Moyo, Reuben Christopher; Govindasamy, Darshini; Manda, S.O.M. (Samuel); Nyasulu, Peter(Taylor and Francis Group, 2023-06-08)
BACKGROUND : In sub-Saharan Africa (SSA), adolescent girls and young women (AGYW) have the highest risk
of acquiring HIV. This has led to several studies aimed at identifying risk factors for HIV in AGYM. However,
a ...
The unique physical profile of each player's role in sub-elite women's cricket is vital for optimizing performance as these players progress to the elite levels. This quantitative, cross-sectional study investigates the ...
Statistical process monitoring (SPM) offers an important toolkit used to monitor the stability of a process to improve the quality of outputs and/or services. More often, the design of control charts requires the estimation ...
BACKGROUND : Globally, the rise in the number of people living with a substance use disorder (SUD) carries a multitude
of individual and social health implications for carers and their families, often impacting negatively ...
Identification and isolation of COVID-19 infected persons plays a significant role in the
control of COVID-19 pandemic. A country’s COVID-19 positive testing rate is useful in
understanding andmonitoring the disease ...
Insurance loss data have peculiar features that can rarely be accounted for by simple parametric distributions. Thus, in this manuscript, we first introduce a new type of location mixture model: the mode mixture. By using ...
INTRODUCTION : The identification of classes of nutritionally similar food items is
important for creating food exchange lists to meet health requirements and for
informing nutrition guidelines and campaigns. Cluster ...
Yu, Lili; Liu, Liang; Chen, Ding-Geng (Din)(Taylor and Francis, 2024)
The Buckley–James method for the classical accelerated failure time model has been extended to accommodate heteroscedastic survival data in two ways. The first is the weighted least squares method [Yu et al. Weighted ...
Kat, Cor-Jacques; Grabe, Roland Peter; Van Staden, Paul Jacobus; Botha, Tanita; Els, P.S. (Pieter Schalk)(Taylor and Francis, 2024)
Not only is it important to know how large the overall change in vibration should be for occupants to perceive an improvement in comfort, but also how large this change should be in specific frequency bands. Relative ...
Pheeha, Sara M.; Tamuzi, Jacques L.; Chale-Matsau, Bettina; Manda, S.O.M. (Samuel); Nyasulu, Peter S.(MDPI, 2023-08)
The gut microbiota has emerged as a key human health and disease determinant. However,
there is a significant knowledge gap regarding the composition, diversity, and function of the gut
microbiota, specifically in the ...
In the longitudinal data analysis we integrate flexible linear predictor link function and highcorrelated
predictor variables. Our approach uses B-splines for non-parametric part in the linear predictor
component. A ...
Shrinkage estimators are often used to mitigate the consequences of multicollinearity in
linear regression models. Despite the ease with which these techniques can be applied to small- or
moderate-size datasets, they ...
Skhosana, Sphiwe Bonakele; Millard, Salomon M.; Kanfer, Frans H.J.(MDPI, 2023-02)
Semi- and non-parametric mixture of normal regression models are a flexible class of mixture
of regression models. These models assume that the component mixing proportions, regression
functions and/or variances are ...
Comparative bioavailability studies often involve multiple groups of subjects for a variety of reasons, such as clinical capacity limitations. This raises questions about the validity of pooling data from these groups in ...
Du Plessis, Tamarisk; Rae, William Ian Duncombe; Ramkilawon, Gopika; Ramkilawon, Gopika Devi; Martinson, Neil Alexander; Sathekge, Mike Machaba(MDPI, 2023-09-01)
Tuberculosis (TB) remains the second leading cause of death globally from a single infectious
agent, and there is a critical need to develop improved imaging biomarkers and aid rapid assessments
of responses to therapy. ...