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108 results for “estimation methods”
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Research ArticleOpen accessPhrase in the titleEstimation Methods for Multicollinearity Proplem Combined with High Leverage Data PointsMoawad El-Fallah, Abd El-SallamProblem statement: Least Squares (LS) method has been the most popular method for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously affected by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Although LS estimates are unbiased in the … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparison of the Bayesian and Other Methods for Estimation of Reliability Function for Burr-XII DistributionSafaa Ali Nasir, Nashaat Jaisam Al-AnberProblem statement: The Burr-XII distribution has been widely used especially in the modeling of life time event data. It provides a statistical model which has a wide variety of application in many areas and the main advantage is its ability in the context of life time event among other distributions. The conventional maximum likelihood method is the usual way to … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 27 Dec 2011 · 7,852 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEstimation under Multicollinearity: A Comparative Approach Using Monte Carlo MethodsD. A. Agunbiade, J. O. IyaniwuraProblem statement: A comparative investigation was done experimentally for 6 different Estimation Techniques of a just-identified simultaneous three-equation econometric model with three multi-collinear exogenous variables. Approach: The aim is to explore in depth the effects of the problems of multicollinearity and examine the sensitivity of findings to increasing sample sizes and increasing number of replications using the mean and total … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,531 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluating Methods of Estimation and Modelling Spatial Distribution of Evapotranspiration in the Middle Heihe River Basin, ChinaChuanyan Zhao, Zhongren Nan, Guodong ChengSeven models commonly used to estimate the daily reference evapotranspiration (ET0) were evaluated in the middle Heihe River Basin of the arid northwestern part of China. The objectives of the study are to choose the appropriate model for estimating the areal distribution of ET0 and to explain the spatial-temporal distribution of the same through GIS in the study area. The … …American Journal of Environmental Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Linear Model for Moving Measurements Estimation in Urban Climate StudiesClaudia Cotrim Pezzuto, Lucila Chebel Labaki, Lia Toledo Moreira Mota, Alexandre Alexandre de Assis MotaProblem statement: Several methods can be adopted to study the variations in urban climate. The mobile measurement method is one of them, involving information provided by moving measurements of air temperature, that are taken in points defined along pre-established routes and also data from fixed-point temperature recording stations. Because moving measurements are made in different times along the measurement process, … …American Journal of Applied Sciences, Vol. 8, Issue 7 · 24 Jun 2011 · 7,038 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeature Analysis of Recommender Techniques Employed in the Recommendation EnginesGopinath Ganapathy, P. K. AruneshProblem statement: Recommender Systems (RS) have become a widely researched area as it is extensively used in web usage mining and E-commerce platforms. Approach: There were a number of recommender systems available to suggest the web pages for the web users. Results: A recommender system acted as an intelligent intermediary that automatically generates and predicts information and web pages, which … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Synergy Based Analysis to Control of Rehabilitation Robot for Adaptive AssistanceGyanendra Nath TripathiAdaptive assistance is needed to support mobility of disabled person due to weakened muscles and loss of joint control. Assistive robot requires coordinated motion trajectory of its joint, similar to human joint trajectory. A robot trajectory planning mechanism, based on comparative analysis between robot trajectory and human joint trajectory data is important to find coordinated trajectory for assistive robot joint. … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 8 Oct 2025 · 3,052 accessesView PDFCite
Review ArticleOpen accessIn the abstractOptimization Consumption Power in Internet of Things Technology: A Systematic ReviewNur Yasmin Salleh, Mohd Kamir Yusof, Nur Farraliza MansorThis study reviews algorithms for battery optimization, focusing on estimation methods and State of Charge (SOC) algorithms, which are crucial components of Battery Management Systems (BMS) designed to reduce power consumption. With the increasing global demand for electricity driven by rapid population growth, optimizing energy use has become critical. Accurate estimation of battery capacity is essential for extending battery lifespan … …Journal of Computer Science, Vol. 21, Issue 3 · 13 Feb 2025 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDFCite