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The Nexus between Nigerian Government Spending and Domestic Output in the Presence of Long-Term Crude Oil Price Shock: A Conditional Unrestricted Equilibrium Correction Model Approach

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Open Journal of Statistics 2016年第3期6卷 412-425页

作者： Lawal Omoniyi Ganiyu Alabi Nurudeen Olawale ige sikiru ajibade Ibraheem Rahmat Abisola Department of Statistics Yaba College of Technology Lagos Nigeria Department of Mathematics Yaba College of Technology Lagos Nigeria

This paper is an empirical analysis of provisional unrestricted level relationship between Nigerian domestic output measured by Gross Domestic Product (GDP) and government spending proxied by capital and recurrent expenditures in the presence of static regressors such as crude oil prices and federal government retained revenues. We estimate an ARDL (1,0,1) using a single-equation approach. Results show that government expenditures have negative but statistically insignificant effects on domestic output in the long-run. Similarly, negative short run effects are established amongst the variables. However, recurrent expenditure is statistically significant in the short-run. Whilst federal government retained revenue has a positive and significant effect, crude oil price exhibited negative relationships with domestic output both at level and in the short-run dynamics. Also a high speed of adjustment implies that Nigerian Gross Domestic Product is extremely sensitive to shocks on the government spending in the long-run. An upward trend forecast between 2014 and 2020 is an indication of the continued positive impact and the government retained revenue will exert on the domestic output in the long-run.

关键词： Level Relationship Domestic Output Government Spending Single-Equation Approach

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Parametric Modeling Approach to Covid-19 Pandemic Data

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Open Journal of Statistics 2023年第1期13卷 61-73页

作者： Nofiu Idowu Badmus Olanrewaju Faweya sikiru ajibade ige Department of Statistics University of Lagos Akoka Nigeria Department of Statistics Ekiti State University Ado-Ekiti Ekiti State Nigeria Department of Mathematics Yaba College of Technology Lagos Nigeria

The problem of skewness is common among clinical trials and survival data, which has been the research focus derivation and proposition of different flexible distributions. Thus, a new distribution called Extended Rayleigh Lomax distribution is constructed from Rayleigh Lomax distribution to capture the excessiveness of some survival data. We derive the new distribution by using beta logit function proposed by Jones (2004). Some statistical properties of the distribution such as density, cumulative density, reliability rate, hazard rate, reverse hazard rate, moment generating and likelihood functions;skewness, kurtosis and coefficient of variation are obtained. We also performed the expected estimation of model parameters by maximum likelihood;goodness of fit and model selection criteria, including Anderson Darling, CramerVon Misses, Kolmogorov Smirnov (KS), Akaike Information, Bayesian Information, and Consistent Akaike Information Criterion is employed to select the better distribution from those models considered in the work. The results from the statistics criteria show that the intended distribution performs well and has a good representation of the States in Nigeria’s Covid-19 death cases data than other competing models.

关键词： Anderson Darling Cramer-von Mises Covid-19 Kolmogorov Smirnov Link Function Survival Analysis

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Parametric Modeling Approach to Covid-19 Pandemic Data

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Open Journal of Statistics（统计学期刊） 2023年第1期

作者： Nofiu Idowu Badmus Olanrewaju Faweya sikiru ajibade ige

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