Uncertainty in Coronavirus disease 2019 (COVID-19) infections, recoveries, and deaths complicates public health decision-making in Nigeria. This study applies a Bayesian framework to quantify this uncertainty using state-level surveillance count data (n = 37) from the Nigeria Cen...
Open access
Research Article10.9734/jsrr/2026/v32i64223
The conventional Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX (p, d, q)) modsel with Normal Error term requires stringent assumptions of normality of error term and stationarity of the series. These models have found widespread application in multidim...
Open access
Research Article10.9734/jsrr/2024/v30i102442
Forecasting the stock market is one of the challenges facing investors and portfolio managers today. These challenges can be overcame by different techniques or analyses in the literature for investment decision-making like, open interest analysis and volatility index on short te...
Open access
Research Article10.9734/jsrr/2024/v30i102446
The relationship between government expenditure and its revenue is generating serious debate among researchers. Similarly, their has been a controversy between the classical and the bayesian modelling. Therfore, this study examined the relationship between the government expendit...
Open access
Research Article10.9734/ajpas/2021/v15i430361
Climate change occurs when there is rise in average surface temperature on earth, which is mostly due to the burning of fossil fuels usually by human activities. It has been known to contribute greatly to the occurrence of extreme storms and rainfall, this trend continues as the...
Open access
Research Article10.9734/jsrr/2020/v26i130209
Urban sprawl has been a phenomenon on increase over the past years, people migrate into the core part of a major city, due to different factors like available housing, land availability, infrastructural development or population growth among others, making it a major cause of con...
Open access
Research Article10.9734/ajee/2024/v23i12644