- UPSpace Home
- →
- Natural and Agricultural Sciences
- →
- Statistics
- →
- Recent submissions
JavaScript is disabled for your browser. Some features of this site may not work without it.
Statistics: Recent submissions
Now showing items 61-80 of 647
-
(Taylor and Francis, 2023-05-03)BACKGROUND : Turner syndrome is a multisystem disease with varied clinical features influenced by genetic composition and possibly ethnicity. OBJECTIVE : To review local data and identify the clinical features more common ...
-
Pregnant women's dietary patterns and knowledge of gestational weight gain : a cross-sectional study (Wiley, 2024-08)OBJECTIVE : Excess gestational weight gain (GWG) is a risk factor for various unfavorable maternal and neonatal outcomes that may be preventable. Maintaining a healthy lifestyle while pregnant can help prevent uncontrollable ...
-
(Springer, 2024-04)BACKGROUND: Effective neuropathic pain management is crucial in improving the quality of life for patients with prostate cancer. There is an abundance of research about cancer pain and guidelines that have been developed ...
-
(Springer, 2023-11)Claw lesions in dairy cows contribute significantly to lameness, causing distress and discomfort for affected cows and raising welfare concerns. Despite increased awareness, lameness incidence continues to rise. Defining ...
-
(University of Pretoria, 2024-07-22)Technological advances have integrated artificial intelligence (AI) into various scientific fields, necessitating understanding AI-derived decisions. The field of explainable artificial intelligence (XAI) has emerged to ...
-
(Institute of Mathematical Statistics, 2023)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 ...
-
(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 ...
-
(University of Pretoria, 2024-07)Compositional datasets consist of observations that are proportional and are subject to non-negativity and unit-sum constraints. These datasets arise naturally in a multiplicity of fields such as agriculture, archaeology, ...
-
(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 ...
-
(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 ...
-
Improving the reading proficiency of mature students through a task-based language teaching approach (AOSIS, 2023-08-29)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, ...
-
(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 ...
-
(University of Pretoria, 2024-04-30)Gaussian mixtures of non-parametric regressions (GMNRs) are a flexible class of Gaussian mixtures of regressions (GMRs). These models assume that some or all of the parameters of GMRs are non-parametric functions of the ...
-
(Lippincott, Williams & Wilkins, 2024-06)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 ...
-
(Taylor and Francis, 2024)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 ...
-
(BMC, 2023-06-15)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 ...
-
(Frontiers Media, 2023-02-22)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 ...
-
(Springer, 2024)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 ...
-
(Frontiers Media, 2023-10)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 ...
-
(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 ...
Now showing items 61-80 of 647