35 results for “Nonparametric”

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Research ArticleOpen accessIn the abstractA Block-Based Multi-Scale Background Extraction AlgorithmSeyed Hashem Davarpanah, Fatimah Khalid, Maryam GolchinProblem statement: To extract the moving objects, vision-based surveillance systems subtract the current image from a predefined background image. The efficiency of these systems mainly depends on accuracy of the extracted background image. It should be able to adapt to the changes continuously. In addition, especially in real-time applications the time complexity of this adaptation is a critical matter. Approach: … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,213 accessesView PDF Cite

Research ArticleOpen accessIn the abstractClimate Change in Jordan: A Comprehensive Examination ApproachMoshrik R. Hamdi, Mahmoud Abu-Allaban, Ammar Al-Shayeb et al.Problem statement: Jordan is experiencing harsh water shortage in different parts of the country due to high fluctuations in annual precipitation; the only source of water. In addition, heat waves are becoming more frequent in the region. Precipitation decrement and summer heat waves are being blamed on global warming. This study aimed to detect trends in weather parameters in Jordan. … …American Journal of Environmental Sciences, Vol. 5, Issue 1 · 28 Feb 2009 · 9,402 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBoosted Regression Estimates of Spatial Data: Pointwise InferenceMarco Di Marzio, Charles C. TaylorIn this study simple nonparametric techniques have been adopted to estimate the trend surface of the Swiss rainfall data. In particular we employed the Nadaraya-Watson smoother and in addition, an adapted-by boosting-version of it. Additionally, we have explored the use of the Nadaraya-Watson estimator for the construction of pointwise confidence intervals. Overall, boosting does seem to improve the estimate as … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,349 accessesView PDF Cite

Research ArticleOpen accessIn the abstractβ-Spline Estimation in a Semiparametric Regression Model with Nonlinear Time Series ErrorsJinhong You, Gemai Chen, Xian ZhouWe study the estimation problems for a partly linear regression model with a nonlinear time series error structure. The model consists of a parametric linear component for the regression coefficients and a nonparametric nonlinear component. The random errors are unobservable and modeled by a first-order Markov bilinear process. Based on a B-spline series approximation of the nonlinear component function, we … …American Journal of Applied Sciences, Vol. 2, Issue 9 · 30 Sep 2005 · 6,734 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOn the Influence of Climate and Socio-Economic Condition to the Dengue Incidences: A Semiparametric Panel Regression ApproachNurma Yussanti, Heri Kuswanto, Mutiah SalamahDengue is one of the most dangerous diseases in the worlds. In particularly in East Java province Indonesia, dengue has been identified as one of the major causes of death. Hence, it is important to investigate the factors that induce the number of dengue incidences in this region. This study examines climate and socio-economic conditions, which are assumed to influence … …American Journal of Environmental Sciences, Vol. 8, Issue 6 · 14 Feb 2013 · 7,206 accessesView PDF Cite