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253 results for “Statistical Data Analysis”
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Research ArticleOpen accessEvery word in the titleStatistical Analysis of Geothermal Data of an Oil Field, in Parts of Niger Delta, NigeriaEmujakporue Godwin Omokenu, Leonard I. NwosuGeothermal gradient and heat flow were computed from bottom hole temperatures in an oil field in Niger Delta, Nigeria. The statistical analysis of computed geothermal data was carried out. The computed geothermal gradient vary from 17.3±0.14 to 24.33±0.70°C/Km with an average of 22.24±0.57°C/km. The heat flow ranges from 38.06±0.31 to 56.39±2.41 mWm-2 with an average of 50.15±1.25 mWm-2. The computed … …Current Research in Geoscience, Vol. 6, Issue 2 · 26 Sep 2016 · 7,963 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTrend Analysis of Precipitation, Groundwater Level and Flow Rate Data by using Mann-Kendall and Sen's Slope Estimator Statistical Tests in the Petorca CommunerHéctor L. Venegas-Quiñones, Mark Thomasson, Pablo A. Garcia-ChevesichThis article analyses one of the most complex socio-environmental conflicts in Chile: The Petorca water crisis. Petorca has been experiencing a shortage of water for several years. The cause of these variations has not yet been completely analyzed and the problem has remained unchanged. This paper evaluates hydrology variables to identify, quantify and demonstrate the cause of water shortages in … …American Journal of Environmental Sciences, Vol. 15, Issue 6 · 10 Jan 2020 · 8,421 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of a Statistical Model to Biological Data Analysis: Exclusive BreastfeedingNaushad Mamode Khan, Cheika Jahangeer, Daya Goburdhun, Maleika Heenaye-Mamode KhanProblem statement: Breastfeeding is of utmost importance in the maternal life of a woman, particularly exclusive breastfeeding. Exclusive breastfeeding during the first 6 months of life supports optimal growth and development during infancy and reduces the risk of obliterating diseases and problems. Many probability distributions were proposed to model such data such as the mixed Poisson distributions. However, the estimation … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 10,818 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Analysis and Learning Method on Users' FeedbacksDoris Hooi-Ten Wong, Sureswaran RamadassProblem statement: The purpose of this study was constructing an effective algorithm in order to learn the users’ feedbacks from their displayed visualization. This is due to existing visualization tools typically involve presenting network data regardless of considering level of network data knowledge among different levels of computer users. The machine learning algorithm has been applied in order to find … …Journal of Computer Science, Vol. 7, Issue 9 · 26 Jul 2011 · 6,525 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComputational and Statistical Analysis of Security and Privacy Parameters of Cloud Computing in Information TechnologyJimbo Claver, Edris Hamraz, Takeru Suzuki et al.Information Technology has transformed the way cloud computing itself can help to manage, consume and improve cost efficiencies, accelerate innovation, provide faster time to the market and develop the ability to scale applications on demands and services. In this research work, we present recent developments and some statistical analysis techniques used in cloud computing development with challenges related to the … …Journal of Computer Science, Vol. 16, Issue 11 · 24 Nov 2020 · 7,269 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter-Expanded Data Augmentation for Analyzing Nominal Data With Missing Values Using Multinomial Probit ModelsSuwash Silwal, Xiao ZhangNominal data occur in many scientific fields, such as health-related studies, transportation, and econometrics. Due to the ubiquitousness of missing data, it is inevitable to analyze nominal data with missing values. As is well known, statistical methods for analyzing nominal variables are quite limited. The Multinomial Probit (MNP) model has been an essential tool for analyzing nominal categorical data, but … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 23 May 2026 · 1,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacterization of the Electrical Energy Consumption of Some Areas Supplied by the Lomé a Interconnection Station of the CEET in Lomé, Togo: Analysis and DiscussionKrou Iparbè, Palanga Eyouléki Tcheyi Gnadi et al.This study aims to analyze the electricity consumption of Greater Lomé (Togo), a critical issue in view of the increasing needs and imperatives of energy transition. We used 63,943 data samples from the Togo Electric Energy Company (CEET), covering eight sites spread across three municipalities over a period of 84 months (2018-2024). A multidimensional statistical approach was used to evaluate … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 21 Jan 2026 · 3,384 accessesView PDFCite
Review ArticleOpen accessIn the abstractBibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future DirectionsSamsul Arifin, Muhammad Faisal, Edwin Kristianto Sijabat et al.Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a critical area of research aimed at mitigating data quality issues and improving decision-making accuracy. This study presents a comprehensive bibliometric analysis of MVI research using Scopus-indexed publications from 2000 to 2024. The … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite