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Britain International of Exact Sciences Journal (BIoEx Journal)
Published by BIAR Publisher
ISSN : 26861216     EISSN : 26861208     DOI : https://doi.org/10.33258/bioex
Core Subject : Health, Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Mathematics Medicine & Pharmacology Physics
Britain International of Exact Sciences Journal is a peer-reviewed journal published in January, May and September by BIAR Publisher. BIoEx Journal welcomes research paper in mathematics, physics, chemistry, biology, engineering, medical sciences, argicultural sciences and other related fields which is published in both online and printed versions.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol 4 No 3 (2022): Britain International of Exact Sciences Journal, September" : 12 Documents clear
A Statistical Survey on Small Scale Business Development in Nigeria Kennedy I. Ekerikevwe; Edwin Isodje
Britain International of Exact Sciences (BIoEx) Journal Vol 4 No 3 (2022): Britain International of Exact Sciences Journal, September
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/bioex.v4i3.759

Abstract

In this paper, we examined the development of small-scale business in Nigeria. Primary data were obtained using structured questionnaires to elicit information from the study population. Data were analyzed using simple percentages and non parametric test statistic. The result showed that there is significant relationship between Entrepreneurship and development of small-scale business in Nigeria. It also shows that there is significant role of government in the development of entrepreneurship in Nigeria. The study recommends that there should be compulsory inclusion of entrepreneurship development modules in the academic programme of Nigeria institutions of learning so that entrepreneurial skills can be nurtured from the cradle. The study also recommends that government should provide technical facillities and services for Small and Medium Entreprises (SMEs) in Nigeria.
Performance Measures for Evaluating the Accuracy of Time Series Hybrid Model Using High Frequency Data T.O. Olatayo; K. I. Ekerikevwe
Britain International of Exact Sciences (BIoEx) Journal Vol 4 No 3 (2022): Britain International of Exact Sciences Journal, September
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/bioex.v4i3.760

Abstract

Given that the traditional ARIMAX model has rarely been applied to any of the climate change and environmental agents, which are the most cognate agents with associated exogenous variables; to neutralize the model for a better and enhanced prediction of the system, a distributional form of the error term that is robust and sufficient in capturing and accommodating both the external covariate(s) and high frequency data is required. This study therefore evaluates the forecasting accuracy of two forecasting models namely ARIMAX and log-ARIMAX. The monthly adjusted high frequency data recorded by four Oil and Gas companies from 2005 – 2020 were used. The forecastability of the two models was evaluated with different error matrices. The effect of Akaike Information Criterion (AIC) and the linear correlation on candidate models among the considered oil spill data tested were discussed. Results for ARIMAX and LOG-ARIMAX Models selection with respect to AIC show that log-ARIMAX is more efficient and performed better than the traditional ARIMAX model for observations characterized by kurtosis, skewness, outliers, high frequency and large fluctuation series with heavy tailed traits as seen in environmental data.

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