Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Daniel Maposa"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Modelling of solar irradiation is paramount to renewable energy management. This warrants the inclusion of additive effects to predict solar irradiation. Modelling of additive effects to solar irradiation can improve the forecasting accuracy
Externí odkaz:
https://doaj.org/article/e822dc4d941448ca97b1c50cbf2d4c59
Publikováno v:
Scientific African, Vol 24, Iss , Pp e02211- (2024)
This study proposes a more robust methodological approach to modeling the effect of weather and calendar variables on the number of bike rentals. We employ penalized splines quasi-Poisson regression (a semi-parametric model), which involves some form
Externí odkaz:
https://doaj.org/article/d0ad0414b3034b488d558c81acb75d98
Publikováno v:
Journal of Energy in Southern Africa, Vol 35, Iss 1 (2024)
Dimensionality poses a challenge in developing quality predictive models. Often when modelling solar irradiance (SI), many covariates are considered. Training such data has several disadvantages. This study sought to identify the best variable embedd
Externí odkaz:
https://doaj.org/article/9f633640b46d4a85ae6ce673c9edeacc
Publikováno v:
Scientific African, Vol 23, Iss , Pp e01988- (2024)
Financial time series data are known to exhibit volatility clustering, which implies that the volatility of financial returns tends to persist over time. This phenomenon has significant implications for risk management and financial decision-making.
Externí odkaz:
https://doaj.org/article/efba0995540743bea2bc4eb019dcd230
Publikováno v:
European Journal of Investigation in Health, Psychology and Education, Vol 13, Iss 9, Pp 1655-1675 (2023)
Background: This study explores the determinants impacting the mortality risk of COVID-19 patients following hospitalisation within South Africa’s Limpopo province. Methods: Utilising a dataset comprising 388 patients, the investigation employs a f
Externí odkaz:
https://doaj.org/article/788c1944538e489987820cbfea25df69
Autor:
Aubain Nzokem, Daniel Maposa
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 3, p 44 (2024)
The S&P 500 Index is considered the most popular trading instrument in financial markets. With the rise of cryptocurrencies over the past few years, Bitcoin has grown in popularity and adoption. This study analyzes the daily return distribution of Bi
Externí odkaz:
https://doaj.org/article/74ef048e0c664eeda97268c3f3695480
Publikováno v:
Scientific African, Vol 21, Iss , Pp e01840- (2023)
This study examined the biological, social, and clinical risk factors for mortality in coronavirus of the year 2019 (COVID-19) hospitalised patients. The population of the study is prone to COVID-19, thus understanding the most common traits and como
Externí odkaz:
https://doaj.org/article/a426b4bfea1444da84be65d6dd0f6718
Autor:
Tshepo Frans Maja, Daniel Maposa
Publikováno v:
Infectious Disease Reports, Vol 14, Iss 4, Pp 609-620 (2022)
Background: South Africa has a high burden of tuberculosis (TB) disease and is currently not meeting the national and international reduction outcome targets. The TB prevalence rate of South Africa in 2015 was estimated at approximately 690 per 100,0
Externí odkaz:
https://doaj.org/article/fc8b8f1300704d6585b7426b5e77763f
Extreme Value Theory Modelling of the Behaviour of Johannesburg Stock Exchange Financial Market Data
Publikováno v:
International Journal of Financial Studies, Vol 11, Iss 4, p 130 (2023)
Financial market data are abundant with outliers, and the search for an appropriate extreme value theory (EVT) approach to apply is an endless debate in the statistics of extremes research. This paper uses EVT methods to model the five-year daily all
Externí odkaz:
https://doaj.org/article/077990160b374ea6ba2e61b63fa3ffb4
Publikováno v:
Scientific African, Vol 19, Iss , Pp e01556- (2023)
This study proposes a modified Geometric Brownian motion (GBM), to simulate stock price paths under normal and convoluted distributional assumptions. This study utilised four selected continuous probability distributions for the convolution because o
Externí odkaz:
https://doaj.org/article/1a5d1d715eab42449bd54a34251e1d5e