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64 articles for “multivariate data”
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Research Frame work of Missing Data Analysis using Mathematical Models
Abstract: AbstractThis article deals with providing an overall framework of missing data analysis using mathematical models. Mathematical models serves at large for missing data imputation. Several algorithms in machine learning techniques like Mean, Median, Standard Deviation, Regression and Naïve Bayesian classifier use Mathematical models for analysis. The performance of above mathematical models has been compared by using correlation statistics analysis gives the imputed values are positively related or negatively related or …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 3, 2020 · pp. 36–44 Read article
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Magnitude of Early Skin-to-Skin Care Practice and Associated Factors among Postnatal Women in Harari Region Hospitals, Ethiopia, 2017
Abstract: Background: Early skin-to-skin care (SSC) is among recommended top ten essential routine newborn care practices after birth for all stable mothers and newborns, regardless of mode of delivery. Despite the large quantity of evidence suggesting the positive impact of the method, it is often a neglected practice, contrary to current newborn care guidelines. The main aim of this study was to assess early SSC practice and associated factors among postnatal …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 3, 2018 · pp. 1–9 Read article
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Principal Component Analysis for Outlier Detection
Abstract: Principal Components Analysis (PCA) is one of the well-known and frequently used multivariate exploratory data analyses. PCA is concerned with analyzing and understanding data in high dimensions, that is to say, PCA method analyzes data sets that represent observations which are identified by several dependent variables that are inter-correlated. Multidimensional scaling (MDS) is a technique that makes a map displaying the comparative attitudes of a number of objects or cases, …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 62s–68s Read article
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Robust Regression Models for Identifying Outliers in Medical Data
Abstract: Before applying any multivariate statistical analysis, it is important to determine whether outliers are present in the dataset. In regression analysis, the presence of outliers in the dataset can strongly mislead the classical least squares estimator and lead to unreliable results. In this paper, we prove the minimum covariance determinant estimator, which is commonly applied in a robust statistic to estimate location parameters and multivariate scales. These ideas can be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 69s–76s Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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Factor Analysis of Crime Data
Abstract: Crime analysis is an act implementation function that includes organized investigation for increasing clarifications to crime problems, and articulating crime stoppage outlines. The main part of crime analysis process is the quantitative social science data analysis methods, though qualitative methods for instance inspecting police report tales also performance a character. This paper analyses US crime data by applying multivariate factor analysis techniques that was engaged to describe the association between …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 20–32 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Multivariate Analysis of The Determinants of Undernutrition in Under-Five Children In Zimbabwe
Abstract: Background: Undernutrition is one of the leading causes of infant mortality in developing countries including Zimbabwe. The main objective for the study was to model the relationship between undernutrition and individual, household and community level determinants. Material and methods: Secondary data analysis of the 2019 Multiple Indicator Cluster Survey (MICS) was performed using the merged children and household datasets. A total of 6223 children’s data was used for the study. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 3, 2022 · pp. 9–19 Read article
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The Importance of Self-Care for Healthcare Professionals in North India: A Regional Analysis of Burnout, Resilience and Institutional Support
Abstract: Background: Burnout in healthcare professionals is described using the framework of Occupational Health and Resilience Theory, where self-care is an individual-level coping mechanism and institutional support is an organizational-level moderator. However, there is a lack of regional data from North India on the structural and contextual factors influencing burnout. Healthcare workers (HCWs) in North India face mounting pressures due to high patient loads, limited mental health resources, and overlapping professional …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 24–29 Read article
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Emergency Contraceptive Use among Female Students of Aksum University, Aksum, Northern Ethiopia
Abstract: Unintended pregnancy is a public health problem among young women in developing countries like Ethiopia. Emergency contraceptives (ECs) can be used as a backup in case regular contraception is not used, misused or failed. However, little is documented about sexual experiences and EC use in highly religious areas like Aksum where sexual rights may not be exercised freely. Therefore, this study was aimed at assessing sexual experiences and EC use …
Published in Research and Reviews: A Journal of Medicine · Vol. 6, Issue 3, 2016 · pp. 9–20 Read article
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Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
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Knowledge on Risk Factors of Pelvic Organ Prolapse and Associated Factors among Mothers attending MCH Clinic, Bansa Daye Primary Hospital, South Ethiopia
Abstract: Background: Pelvic organ prolapse is a main gynaecological problem and admission in developing countries, including Ethiopia. It affects women’s day to day activities and quality of life. This study was conducted to assess knowledge on risk factors of pelvic organ prolapse and associated factors among mothers who attending MCH clinic, at Bansa Daye Primary Hospital, South Ethiopia. Methodology: A facility-based cross-sectional study was conducted from April 1–30, 2018 among 408 …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 31–36 Read article
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Forest Change Monitoring of Ghatsila, Musabani and Dhalbhumgarh Block of East Singbhum District, Jharkhand State using Image Subtraction, Image Ratioing and SAM Classification Method
Abstract: Forests and biodiversity is the key of all life forms. The richer the forest, greater the opportunity for economic development and adaptive responses to the challenge of climate change induced disasters. The forest area of Jharkhand is rapidly destroyed due to unscientific mining, industry induced air pollutants and human encroachment in forest area. This heavy deforestation activity has changed the ecosystem and environment. Recent advancement in remote sensing technology has …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 37–42 Read article
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Magnitude of Perceived Stigma and Factors Associated with Care Givers of Schizophrenic Patients: The Case of Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia
Abstract: Stigma is a social process, experienced and characterized by exclusion, rejection, blaming or devaluation of a person or a group. Schizophrenia, especially because of its distinctive symptoms like common disruptive behavior and perceived dangerousness, exposes patients to stigma and discrimination. If families do not seek help because of stigma, young people will be at risk of longer durations of untreated illness. To assess magnitude and factors associated with perceived stigma …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 2, 2016 · pp. 1–9 Read article
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Statistical Methods in Law: Analysing Trends and Patterns in Judicial Outcomes
Abstract: The research paper explores the integration of statistical techniques within the domain of legal science, emphasizing their role in assessing and interpreting ongoing trends. By employing methods such as descriptive statistics, inferential statistics, and multivariate analysis, the study highlights how empirical data can effectively uncover disparities in areas like sentencing practices, risk assessments, and the evaluation of policy outcomes. These statistical tools enable researchers and legal professionals to identify patterns, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 32–36 Read article
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Assessment of Road Traffic Accidents among Children in Addis Ababa City, Ethiopia; A Retrospective Record Review
Abstract: Road traffic injuries are major causes of death and disability worldwide, with a disproportionate number of occurrences in developing countries particularly in school-age children. The aim of this study is to assess the magnitude and factors associated with road traffic accidents among children in Addis Ababa, Ethiopia. Retrospective record review was conducted to assess road traffic accidents among children of Addis Ababa from records of all sub cities of Addis …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 3, 2014 · pp. 25–36 Read article
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Adoption of Major Climate-Smart Agricultural Practices in Gimbo District, Southwest Ethiopia
Abstract: This study investigates the determinants of adoption of Climate-Smart Agricultural Practices (CSAPs) among smallholder farmers in Gimbo District, Southwest Ethiopia. The focus is on three key technologies: agroforestry, improved seed varieties, and improved livestock feed and feeding practices. Primary data were collected from 384 households through structured interviews, and a multivariate probit (MVP) model was employed to analyze the simultaneous adoption of multiple technologies while accounting for potential interdependencies. Descriptive …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 65–76 Read article
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Effect of Co-empowering Both Mother and Mother-in-Law on the Prenatal, Delivery, Postnatal Knowledge and Practices in the Far West Region of Nepal
Abstract: This study compares prenatal, delivery, and postnatal knowledge and practices of daughter-in-law/mother-in-law (DIL/MIL) pairs who participated in an intervention meeting with those DIL/MIL pairs compared to where only DIL participated in the Female Community Health Volunteer (FCHV) meeting in Kailali district, far-west region of Nepal. The intervention was a 1−2 h meeting before the delivery with the DIL/MIL and the FCHV. The topics covered during the meeting were based on …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 3, 2014 · pp. 1–12 Read article
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Recent Advances in Diabetes Management: A Gendered Approach in North India
Abstract: Background: Diabetes Mellitus remains a major public health issue in India, with disproportionate burdens observed in North India and among women. Objectives: To examine gender and residence-based disparities in glycemic control, medication adherence, and healthcare access among adults with Type 2 Diabetes Mellitus (T2DM) in North India. Page 2 of 7 Methods: A cross-sectional study was conducted among 800 adults with T2DM across five North Indian states. Data on clinical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article