127 results for “Inference”

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Research ArticleOpen accessIn the abstractA New Hybrid Approach for Heterogeneous Radio Access Technology SelectionJ. Preethi, S. PalaniswamiProblem statement: The Next generation wireless networks are heterogeneous in nature where different Radio Access Technologies (RAT) coexists in the same coverage area. The user terminal should be able to pick the best access technology such as Wireless Local Area Network (WLAN), Wireless Wide Area Networks (WWAN), the Universal Mobile Telecommunication Systems (UMTS) and the Global System for Mobile Telecommunication … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 7,037 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Evolutionary Algorithmic Approach based Optimal Web Service Selection for Composition with Quality of ServiceD. Palanikkumar, G. KousalyaProblem statement: Web service is a technology that provides flexibility and interconnection between different distributed applications over the Internet and intranets. When a client request cannot be satisfied by any individual service, existing web services can be combined into a composite web service. When there are a large number of Web services available, it is not easy to find an … …Journal of Computer Science, Vol. 8, Issue 4 · 10 Feb 2012 · 6,762 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMoments of Order Statistics from Nonidentically Distributed Three Parameters Beta typeI and Erlang Truncated Exponential VariablesA. A. Jamjoom, Z. A. AL-SaiaryProblem statement: Moments of order statistics of independent non-identically distributed (INID) random variables is not an easy subject to deal with for continuous distributions. One is forced to use messy algebraic calculations (whether one uses permanents or not). This was the motivation behind this study. In this study the moments of order statistics arising from independent nonidentically distributed three parameters … …Journal of Mathematics and Statistics, Vol. 6, Issue 4 · 31 Dec 2010 · 7,373 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDistributed Mutual Exclusion Based on Causal OrderingMohamed Naimi, Ousmane ThiareProblem statement: Causality among events, more formally the causal ordering relation, is a powerful tool for analyzing and drawing inferences about distributed systems. The knowledge of the causal ordering relation between processes helps designers and the system itself solve a variety of problems in distributed systems. In distributed algorithms design, such knowledge helped ensure fairness and liveness in distributed algorithms, … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,748 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffect of Multicollinearity on Power Rates of the Ordinary Least Squares EstimatorsO.O. Alabi, Kayode Ayinde, T.O. OlatayoInferences on the parameter estimates of Ordinary Least Square (OLS) estimator in regression model when regressors exhibit multicollinearity is a problem in that large standard errors of the regression coefficients which cause low t-statistic value often result into the acceptance of the null hypothesis. This paper, therefore, makes efforts to investigate the effect of multicollinearity on the power rates of … …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 7,880 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOperational Semantics for Lazy EvaluationMahmoud A. Abou Ghaly, Sameh S. Daoud, Azza A. Taha, Salwa M. AlyAn operational semantics for lazy evaluation of a calculus without higher order functions was defined. Although it optimizes many aspects of implementation, e.g. there is a sharing in the recursive computation, there is no α conversion, the heap is automatically reclaimed, and an attempt to evaluate an argument is done at most once. It is still suitable for reasoning about … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,705 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