Research ArticleOpen accessIn the abstractInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessIn the abstractEstimation of Vibrations in Switched Reluctance Motor DrivesS. Balamurugan, R. ArumugamThis study discusses a simple algorithm for estimation and reduction of Vibrations in a Switched Reluctance Motor (SRM) using magnetic circuit simulation in MATLAB/SIMULINK Environment. A Non-linear model is developed using magnetic circuit equations, wherein non-linearity is added using a inductance profile with back EMF. Dynamic characteristic of the SRM is simulated and the same is being verified experimentally. In … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,826 accessesView PDFCite
Research ArticleOpen accessIn the abstractDepth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution MethodM. G.E. Dawi, Liu Tianyou, Shi Hui, Luo DapengEuler deconvolution method is the method of depth estimation which is best suited for anomalies caused by isolating and multiple anomalous sources. In the present study, algorithmic programs based on generalizing linear inverse theory, uses a least square sense to solve for Euler’s equation is being written. The Euler technique that can estimate the location of a simple body from … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,459 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Modeling of Temperature Extremes Behaviour in GhanaTwumasi-Ankrah Sampson, Nyantakyi Agyei KwadwoThis paper focuses on modeling the extreme maximum temperature in Ghana using the extreme value theory. This is to inform decision-makers to help them plan appropriate risk mitigating measures to reduce the damage caused by drought. The block maxima with Generalized Extreme Value (GEV) and the General Pareto (GP) (with “all excesses” and decluster peaks) were used on 113 years … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 10 Jan 2019 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Per Capita GDP in Intergenerational Mobility in Education: A Cross-Country StudyLida Fan, Meiying Zheng, Rong Luo, Alena AuchynnikavaThis study investigates the mechanism of how per capita GDP impacts intergenerational mobility in education. We propose an analytic framework in which per capita GDP affects educational mobility through government spending on education and other channels. Following this framework, this study conducts five-round estimations to examine the connections among per capita GDP, educational mobility, and government expenditure on education, using … …Journal of Social Sciences, Vol. 21, Issue 1 · 4 Feb 2025 · 8,194 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Bayesian Premium Estimators for Gamma Lindley Model under Squared Error Loss Function and Linex Loss FunctionAhmed Sadoun, Halim Zeghdoudi, Fatma Zohra Attoui, Mohamed Riad RemitaWe consider the Gamma Lindley distribution (GaL) as the conditional distribution of (X|θ,γ), we focus on the estimation of the Bayesian premium under squared error loss function (symmetric) and linear-exponential (Linex) loss function (asymmetric), using informative priors (the Gamma prior). Because of its difficulty and non-linearity, we use a numerical approximation for computing the Bayesian premium. Finally, a simulation and … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 23 Sep 2017 · 7,043 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling the Impact of Taxes on Economic Growth with Regional Resource PotentialOleg Tsepelev, Maria KakaulinaThis study deals with estimation problems for optimal tax burdens in relation to regional economic growth. Theoretical, methodological and empirical base of the research were the concept of the Laffer curve, the materials of the National Research University, Higher School of Economics of the Russian Federation, Ministry of Natural Resources and Environment of the Russian Federation, Federal Service of State … …American Journal of Applied Sciences, Vol. 12, Issue 5 · 7 Jul 2015 · 6,540 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew (Digital) Technique for Areal Measurements of Stonewall Surface RoughnessMary J. ThornbushThis study revisits a method introduced in the 1990 s that was deployed to measure surface roughness through profiles on rock blocks. Measurements were originally taken directly in the field using a micro-roughness meter or a simple profile gauge. The roughness index was obtained in the "deviograms" method utilizing the standard deviation of differences between 38 adjacent height measurements. The … …Current Research in Geoscience, Vol. 4, Issue 2 · 14 Jan 2015 · 6,857 accessesView PDFCite