7 results for “bootstrap technique”

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Research ArticleOpen accessIn the keywordsSimulation Study for Evaluating a New Three Stages Procedure for Selecting the Right Multivariate Regression ModelAli Hussein AL-MarshadiProblem statement: This article considers the analysis of multivariate regression experiment that is used frequently in variety of applications research such as psychiatric epidemiologic studies. Our study concerned with multivariate regression model in which the responses were correlated in particular ways for both standard and non-standard multivariate model structures. Our objective is to find reliable procedure that can be used … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 7,814 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGeneralized Statistical Inference for Quantiles of Two-Parameter Gamma DistributionMalwane AnandaGamma distribution is a widely used distribution to analyze data in many disciplines such as hydrology, meteorology, environmental monitoring, lifetime testing and reliability. In this study, we look at the statistical inference for the quantiles of two-parameter gamma distribution. The testing and estimation of gamma quantile are required especially in areas such as flood frequency analysis and life testing. For … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 12 Feb 2024 · 5,910 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCardiovascular Disease Prediction using Various Machine Learning AlgorithmsDebabrata Swain, Badal Parmar, Hansal Shah et al.Almostone-third of all deaths caused around the world were caused due tocardiovascular diseases. Even if death was not the result, much cost isincurred during the treatment of such diseases. But much of these deaths andtreatments could have been prevented with prior action. Advance knowledge ofthe symptoms and consequently proper care can lead us to avoid such diseases.Thus, current research proposes … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 9,394 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStatistical Tool for Testing Agreement Level on Continuous DatasetsBasavarajaiah Mariyappa Doddagangavadi, B. Narasimha Murthy, Netra RajpurohitVarious analytical studies explored the new innovation for testing agreement level in medical and life sciences which can be simulated by Cohen ‘κ’ based on the practical applications. From the past medical literature, many authors suggested that, there is some disproportion research gaps that exists in the statistical methods for measuring the agreements between two or more observers from ‘Cohen … …Current Research in Biostatistics, Vol. 11, Issue 1 · 19 May 2021 · 11,780 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFitting of Finite Mixture Distributions to Motor Insurance ClaimsP. Sattayatham, T. TalangtamProblem statement: The modeling of claims is an important task of actuaries. Our problem is in modelling the actual motor insurance claim data set. In this study, we show that the actual motor insurance claim can be fitted by a finite mixture model. Approach: Firstly, we analyse the actual data set and then we choose the finite mixture Lognormal distributions … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 16 Jan 2012 · 9,300 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,038 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordLinear Regression Model Selection Based on Robust Bootstrapping TechniqueHassan S. Uraibi, Habshah Midi, Bashar A. Talib, Jabar H. YousifProblem statement: Bootstrap approach had introduced new advancement in modeling and model evaluation. It was a computer intensive method that can replace theoretical formulation with extensive use of computer. The Ordinary Least Squares (OLS) method often used to estimate the parameters of the regression models in the bootstrap procedure. Unfortunately, many statistics practitioners are not aware of the fact that … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,876 accessesView PDF Cite