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66 articles for “statistical modeling”
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Research ArticleOpen accessIn the abstractComplexity and the Ecological Impacts of Tourism on Wetlands Ecosystem and Rural Sustainability: A Case Study of Zrebar WetlandsSima Saadi, Hosein Karimzadeh, Akbar RahimiDue to its natural and ecological qualities, rural tourism has drawn greater attention in recent decades. The development of rural tourism provides a variety of advantages that influence the environment and local resources. Therefore, this study looks at how tourism affects the sustainability of the Zrebar wetland, an urban-rural area in the west of Iran, and the wetland ecosystem. In … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 14 Jun 2023 · 7,114 accessesView PDFCite
Research ArticleOpen accessIn the abstractEquilibrium Studies and Optimization of Phosphate Adsorption from Synthetic Effluent Using Acid Modified Bio-SorbentBabayemi Akinpelu Kamoru, Onukwuli Okechukwu DominicAdsorption potential of periwinkle shell (PRW), an agricultural waste, for the removal of phosphate from aqueous solution was investigated through equilibrium studies at various experimental conditions. PRW was carbonized and chemically activated with 1MH2SO4 before it was subjected to characterization using Fourier Transform Infrared (FT-IR), Energy Dispersive X-ray (EDX) and Scanning Electron Microscopy (SEM). Adsorption data were analyzed using various … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 15 Dec 2017 · 7,674 accessesView PDFCite
EditorialOpen accessIn the abstractImpact of Quantitative Pharmacology on Drug DevelopmentAna Ruiz-Garcia, Kourosh ParivarThesuccess of drug development rests over two well defined pillars, a goodunderstanding of the drug’s clinical pharmacology and the appropriate targetpopulation for whom the clinical use is intended. The label for human prescription drugsrequires a good understanding of the pharmacological effects (pharmacodynamicsor PD) and the mechanism of action of the drug as well as detailed informationof the drug’s Pharmacokinetics (PK): … …American Journal of Pharmacology and Toxicology, Vol. 9, Issue 4 · 24 Apr 2015 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Exploration of Multilocus Interactions on the Genome-Wide ScaleIvan Kozyryev, Jing ZhangProblem statement: Recent technological and scientific advances propelled the field of Genome-Wide Association Study (GWAS), which promises to be instrumental in linking many common complex diseases to their genetic origin. While so far such large-scale surveys have been moderately successful in identifying disease related genetic variants, much of disease heritability is still not accounted for by the discovered loci. There … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 2 Jul 2012 · 7,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network in Modeling Malaysian Oil Palm YieldZuhaimy Ismail, Azme KhamisProblem statement: Forecasting of palm oil yield has become an important element in the management of oil palm industry for proper planning and decision making. The importance of yield forecasting has led us to explore modeling of palm oil yield for Malaysia using the most recent development of Artificial Neural Network (ANN). The main issue in yield forecasting is to … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 8,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Research Framework: Enumerative Study Versus Analytic Study from Deming's PerspectiveKang Eng ThyeProblem statement: The right research framework is the only way to lead us to become champions in our respective disciplines and certainly to be recognized as an excellent referral center of knowledge for the world. Deming, a well-known quality guru, has defined two research frameworks, namely enumerative study and analytic study. They are totally different in their applications and implications. … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 8,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,550 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparison of Spatio-Temporal Bayesian Models for Reconstruction of Rainfall Fields in a Cloud Seeding ExperimentSujit k. sahu, Giovanna Jona Lasinio, Arianna orasi, Kanti V. MardiaIn response to the drought experienced in Southern Italy a rain seeding project has been setup and developed during the years 1989-1994. The initiative was taken with the purpose of applying existing methods of rain enhancement technology to regions of south Italy including Puglia. The aim of this study is to provide statistical support for the evaluation of the experimental … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,813 accessesView PDFCite
Research ArticleOpen accessIn the abstractPossibility and Evidence-Based Reliability Analysis and Design OptimizationHong-Zhong Huang, Liping He, Yu Liu et al.Engineering design under uncertainty has gained considerable attention in recent years. A great multitude of new design optimization methodologies and reliability analysis approaches are put forth with the aim of accommodating various uncertainties. Uncertainties in practical engineering applications are commonly classified into two categories, i.e., aleatory uncertainty and epistemic uncertainty. Aleatory uncertainty arises because of unpredictable variation in the performance … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 26 Mar 2013 · 7,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpecification of the Outlier Univariate ModelN. P. OlewueziProblem statement: An outlier is an observation that deviates so much from other observations so as to arouse suspicion that it was generated by a different mechanism. Approach: In this study, outlier univariate model was specified based on statistical measures, Outlier Free (OF) and Outlier Contaminated (OC) models were Stated and compared. Results: The number of expected outliers obtained and … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 3 Nov 2011 · 6,908 accessesView PDFCite