226 10 3074 https://repository.gctu.edu.gh/files/original/37cbb1afd106351eec97890cdd7c2d14.pdf 5656d8ca90c6ee82aee66d432687758b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of IT Business Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prediction of Electricity Consumption in Ghana: Long or Short Memory Creator An entity primarily responsible for making the resource S Twumasi Ankrah, Isaac Ankrah Description An account of the resource In this study, we explore both univariate and multivariate aspects of time series analysis. In the univariate aspect, we evaluated the predictive performance of three widely used univariate time series methods in forecasting the electricity consumption in Ghana during the 1980–2011 periods. The three univariate time series approaches are autoregressive integrated moving average (ARIMA), autoregressive fractional integrated moving average (ARFIMA) and exponential smoothing. In each approach, we examined competing models and the “best” model according to the minimum information criterion and diagnostic checking was selected. The forecast accuracy measure (ie; mean absolute forecast error, MAFE) was computed for each “best” model in the three different approaches. The empirical results revealed that the MAFE for ARIMA, ARFIMA and exponential smoothing were 31.3%, 9.4% and 41.6% respectively. Thus, the comparative analysis of the forecast performance of these methods clearly concluded that the ARFIMA method gives better forecast in predicting electricity consumption in Ghana. And, in the multivariate aspect, we examined whether GDP, export, import and population influences electricity consumption. The results revealed a feedback causality between electricity consumption and economic growth. Again, we established that there exists an uni-directional influence of import, export, population towards electricity consumption. The “best” model of the univariate approach is ARFIMA (2, 0.31, 1) with MAFE of 9.4% while the “best” model for the multivariate approach is vector error correction model VECM (3) with MAFE of 1.5 … Publisher An entity responsible for making the resource available Advances in Economics and Business Date A point or period of time associated with an event in the lifecycle of the resource 2015 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=qSyX_i8AAAAJ&citation_for_view=qSyX_i8AAAAJ:UeHWp8X0CEIC Language A language of the resource English https://repository.gctu.edu.gh/files/original/046addfb5b6707f81a6da347ff484a92.pdf cf6490465385dd163812790afafbb754 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictive analytics in human resource management: a hands-on approach. Creator An entity primarily responsible for making the resource Nijjer, S., & Raj, S. Subject The topic of the resource Actuarial Science Publisher An entity responsible for making the resource available Routledge India. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English https://repository.gctu.edu.gh/files/original/46f880f542d486a4ddf820fe34053dd4.pdf d5a6ebde23c20ef11350453b48fb81a0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictive Analytics in System Reliability Creator An entity primarily responsible for making the resource Vijay Kumar, Hoang Pham Subject The topic of the resource Actuarial Science Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English https://repository.gctu.edu.gh/files/original/117c3b81f2643884b49f2b2707497357.pdf 336e46f1bc899ab93408b91ce398b8ca Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictive Analytics Using Statistics and Big Data: Concepts and Modeling Creator An entity primarily responsible for making the resource Krishna Kumar Mohbey . Arvind Pandey . Dharmendra Singh Rajput Subject The topic of the resource Web Application Publisher An entity responsible for making the resource available Bentham Science Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource English https://repository.gctu.edu.gh/files/original/47f34b8ce19f53fa3b4e6947d631ee6c.pdf 092aa06b99e27626e2fece8b1a10bd23 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictive Analytics: Modeling and Optimization Creator An entity primarily responsible for making the resource Vijay Kumar, Mangey Ram Subject The topic of the resource Actuarial Science Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2021 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English https://repository.gctu.edu.gh/files/original/57acd7968dbf5801fcfc390b33f480be.pdf a523f38f7298c59ed1348e817ed5c626 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictive Analytics: Parametric Models for Regression and Classification Using R. Creator An entity primarily responsible for making the resource Tamhane, A. C. Subject The topic of the resource Actuarial Science Publisher An entity responsible for making the resource available John Wiley & Sons Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English https://repository.gctu.edu.gh/files/original/73d0aec609cf16c09fad6772837c6acb.pdf 423f098b5d7cce723843187a1912d40c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictive Safety Analytics (Reliability, Maintenance, and Safety Engineering) Creator An entity primarily responsible for making the resource Robert Stevens Subject The topic of the resource Actuarial Science Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of IT Business Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictors of carbon emissions: an empirical evidence from NAFTA countries Creator An entity primarily responsible for making the resource Mohammed Musah, Yusheng Kong, Xuan Vinh Vo Description An account of the resource This study examined the predictors of carbon emissions in member countries of the North American Free Trade Agreement (NAFTA). Panel models robust to cross-sectional dependence and slope heterogeneity were used for the study. From the heterogeneity and cross-sectional dependence tests, the studied panel was heterogeneous and cross-sectionally dependent. Also, the unit root and cointegration tests established the series to be first differenced stationary and cointegrated in the long run. Additionally, results of the CCEMG regression estimator in the whole panel affirmed economic growth (GDP) to be a significantly positive predictor of CO2 emissions, while foreign direct investments (FDI) and population growth (POP) were trivial determinants of CO2 emissions. The discoveries were however diverse in the individual countries. Finally, there was no causality between GDP and CO2 emissions and … Publisher An entity responsible for making the resource available Springer Berlin Heidelberg Date A point or period of time associated with an event in the lifecycle of the resource 2021 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=-U-tBVYAAAAJ&citation_for_view=-U-tBVYAAAAJ:IjCSPb-OGe4C Language A language of the resource English https://repository.gctu.edu.gh/files/original/af42a68a6b68fe3a4fc7b1db5837de89.pdf 3ad0ebb4bfec382b166128528a582147 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Preparing to Publish, 2nd Edition Creator An entity primarily responsible for making the resource Elena Cotos, Sarah Huffman, Kimberly Becker Subject The topic of the resource Study Skills and Research Methods Publisher An entity responsible for making the resource available Iowa State University Digital Press Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This resource is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text https://repository.gctu.edu.gh/files/original/896580255444699a43e12eea786496e9.pdf 9a44703e30d5921b06e6915b3642d3bf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prevalence of hypertension in Ghanaian society: a systematic review, meta-analysis, and GRADE assessment Creator An entity primarily responsible for making the resource Fidelis Atibila, Gill ten Hoor, Emmanuel Timmy Donkoh, Abdul Iddrisu Wahab, Gerjo Kok Description An account of the resource Background Hypertension has become an important public health concern in the developing world owing to rising prevalence and its adverse impact on ailing health systems. Despite being a modifiable risk factor for cardiovascular disease, hypertension has not received the needed attention in Ghana as a result of various competing interests for scarce health resources. This systematic review and meta-analysis provides a comprehensive and updated summary of the literature on the prevalence of hypertension in Ghana. Methods Major databases such as MEDLINE, EMBASE, and Google Scholar and local thesis repositories were accessed to identify population-based studies on hypertension among Ghanaians. Data extracted from retrieved reports were screened independently by two reviewers. The quality of eligible studies was evaluated and reported. A reliable pooled estimate of hypertension prevalence was … Publisher An entity responsible for making the resource available BioMed Central Date A point or period of time associated with an event in the lifecycle of the resource 2021 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:IjCSPb-OGe4C Language A language of the resource English