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341 results for “statistical method”
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Review ArticleOpen accessPhrase in the titleAssessment of Dust Event By RS, GIS, MODIS and Statistical Methods Among Satellite ImagesKaveh Ostad-Ali-Askari, Naimeh Rahimi, Parisa Ashrafi et al.Dust is an event that occurs in most sections of the world that leads to financial loss and harmful environmental impacts. Several factors are included in dust event incidence, some of them are natural and others are due to human processes and their impact on the environment. Thus, very critical situations are coming and it is expected that the majority … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 25 Jun 2021 · 6,698 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCOLLABORATION OF STATISTICAL METHODS IN SELECTING THE CORRECT MULTIPLE LINEAR REGRESSIONSAli Hussein Al-MarshadiThis article considers the analysis of Multiple Linear Regressions (MLRs) that are essential statistical method for the analysis of medical data in various fields of medical research like prognostic studies, epidemiological risk factor studies, experimental studies, diagnostic studies and observational studies. An approach is used in this article to select the "true" regression model with different sample sizes. We used … …Current Research in Biostatistics, Vol. 4, Issue 2 · 15 Sep 2014 · 7,791 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMeasuring three Demarketing Cases using Statistical MethodsEunice Lebogang Sesale, Mantepu Tshepo Mase Tshaba, Tshepo Matsose et al.This paper applies statistical measures to illustrate effects of 'demarketing' in three case studies. The first case involves a leading Internet café which had recently lost customers to rivals in the same trading environment. The second one involves a reputable Chicken farm that had also lost many clients. The third one involves a Catering services company that had lost some … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 2 Mar 2017 · 7,275 accessesView PDFCite
EditorialOpen accessPhrase in the titleNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,588 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSELECTING THE COVARIANCE STRUCTURE IN MIXED MODEL USING STATISTICAL METHODS CALIBRATIONAli Hussein AL-MarshadiIn this article the analysis of experiment of repeated measures design is considered which is used often in different fields of studies. In order to analyze the experiment of repeated measures design efficiently we need to select the suitable covariance structure which required a lot of efforts. In the current paper an approach is used to guide the selection of … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 8 Jul 2014 · 7,222 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatistical 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 accessEvery word in the titleDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassification of Non-Small Cell Lung Cancer Based on Gene Expression in Cases of Smokers and Non-Smokers using Ensemble Methods with Statistical Based Feature SelectionFhira Nhita, Isman KurniawanLung cancer is one of the leading causes of death globally. One of the main risk factors for lung can ceris smoking, which causes more than 90% of lung cancer cases. There are two types of lung cancer, i.e., Small Cell Lung Cancer (SCLC) and Non-Small Cell Lung Cancer (NSCLC), which the latter is the most common. One method that … …Journal of Computer Science, Vol. 18, Issue 10 · 30 Sep 2022 · 6,093 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSome Statistical Solutions and Methods in Evaluation of Efficiency in Sport and Effectiveness in the Phenomenon of Sportsmen' TrainingGheorghe Săvoiu, Ion Iorga, Marian Creţu, Ion MihăilăProblem statement: A general method for evaluation of efficiency in sport and effectiveness in the phenomenon of sportsmen’s training was proposed. Approach: The method of four “E” was a frame method focused on communication and evaluation, where efficiency acquired an essential importance and its variation related to the initial programme, with its time or space details, respectively related to the … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,878 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBootstrap Method for Dependent Data Structure and Measure of Statistical PrecisionT. O. Olatayo, G. N. Amahia, T. O. ObiladeProblem statement: This article emphasized on the construction of valid inferential procedures for an estimator θ^ as a measure of its statistical precision for dependent data structure. Approach: The truncated geometric bootstrap estimates of standard error and other measures of statistical precision such as bias, coefficient of variation, ratio and root mean square error are considered. Results: We extend it … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,258 accessesView PDFCite