A new flexible univariate probability distribution was defined in this paper. The new distribution is so called the 'exponentiated Gumbel-Weibull {logistic} distribution' and it arose by using the exponentiated Gumbel distribution to generate a generalized Weibull distribution using the logit function or the quantile function of the logistic distribution as a link. The new distribution was observed to be both unimodal and bimodal as well as exhibits various shape and tail properties consistent with data arising from several real life phenomena. A detail study of its statistical properties was carried out and the maximum likelihood method was used in the estimation of its parameters. The new distribution was applied in fitting the reported daily number of infections due to the COVID-19 pandemic in Nigeria. Five other datasets were further used to ascertain the flexibility of the new distribution in fitting data sets with different statistical properties.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934027PMC
http://dx.doi.org/10.1007/s40745-022-00373-0DOI Listing

Publication Analysis

Top Keywords

distribution
9
gumbel-weibull {logistic}
8
statistical properties
8
exponentiated gumbel-weibull
4
{logistic} distribution
4
distribution application
4
application nigeria's
4
nigeria's covid-19
4
covid-19 infections
4
infections data
4

Similar Publications

Background: There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.

Objective: The primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.

View Article and Find Full Text PDF

Purpose: To analyze survival and its predictors among patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE) in Ethiopia.

Materials And Methods: We conducted a retrospective cohort study among patients who received TACE for HCC at MCM Hospital from December 1, 2016, to December 31, 2022. Data were extracted from patients' medical records, and vital status was ascertained from the patients' charts or by phone call to the next of kin.

View Article and Find Full Text PDF

Purpose: The academic field of global pediatric oncology is expanding as cancer becomes increasingly recognized as a global health priority for children and adolescents. Here, we aimed to explore the representation of authors, the geographic distribution of research, and the research approaches being used in global pediatric oncology.

Methods: Articles published in () and on the topic of global pediatric oncology were analyzed.

View Article and Find Full Text PDF

Errors are robustly tamed in cumulative knowledge processes.

Proc Natl Acad Sci U S A

February 2025

Computer Science, School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134.

As knowledge accumulates in science and society in a distributed fashion, erroneous derivations can be introduced into the corpus of knowledge. Such derivations can compromise the validity of any units of knowledge that rely on them in the future. Can societal knowledge maintain some level of integrity given simple distributed error-checking mechanisms? In this paper, we investigate the following formulation of the question: assuming that a constant fraction of the new derivations is wrong, is it possible for simple error-checking mechanisms that apply when a new unit of knowledge is derived to maintain the integrity of the corpus of knowledge? This question was introduced by Ben-Eliezer et al.

View Article and Find Full Text PDF

Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation.

PLoS One

January 2025

Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, Liaoning, China.

To address the susceptibility of conventional vector control systems for permanent magnet synchronous motors (PMSMs) to motor parameter variations and load disturbances, a novel control method combining an improved Grasshopper Optimization Algorithm (GOA) with a variable universe fuzzy Proportional-Integral (PI) controller is proposed, building upon standard fuzzy PI control. First, the diversity of the population and the global exploration capability of the algorithm are enhanced through the integration of the Cauchy mutation strategy and uniform distribution strategy. Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm's ability to escape local optima.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!