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107 articles for “estimation methods”
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Research ArticleOpen accessIn the abstractRobust Estimations as a Remedy for Multicollinearity Caused by Multiple High Leverage PointsArezoo Bagheri, Habshah MidiProblem statement: The Least Squares (LS) method has been the most popular technique for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously disturbed by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Even though LS estimates are unbiased … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 8,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractRanking of Simultaneous Equation Techniques to Small Sample Properties and Correlated Random DeviatesA. A. Adepoju, J. O. OlaomiProblem statement: All simultaneous equation estimation methods have some desirable asymptotic properties and these properties become effective in large samples. This study is relevant since samples available to researchers are mostly small in practice and are often plagued with the problem of mutual correlation between pairs of random deviates which is a violation of the assumption of mutual independence between … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractInitial Hybrid Method for Analyzing Software Estimation, Benchmarking and Risk Assessment Using Design of SoftwareJ. Frank Vijay, C. ManoharanProblem statement: Estimation models in software engineering are used to predict some important attributes of future entities such as development effort, software reliability and programmers productivity. Among these models, those estimating software effort have motivated considerable research in recent years. Approach: In this study we discussed an available work on the effort estimation methods and also proposed a hybrid method … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,600 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 abstractWeighting Spatial Information in GIS for Copper Mining ExplorationFarhad Hosseinali, Ali Asghar AlesheikhExploration of new mines is vitally important for human life. Geospatial Information Systems (GIS) can be effectively used in the gathering, weighting, analyzing and presenting spatial and attribute information to facilitate the mine exploration process. The success of mine exploration largely depends on: the identification of governing factors, the determination of their impacts and the selection of suitable models to … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 8,609 accessesView PDFCite
Research ArticleOpen accessIn the abstractSugarcane Phenological Date Estimation Using Broad-Band Digital CamerasMobasheri, M. Chahardoli, J. Jokar, M. FarajzadehIn the agricultural industry, precision farming is the most important task that attracts lots of attentions. The health of the plant depends mostly on the amount of water in its access that can be estimated through vegetation indices. These indices can be extracted from satellite images through Image processing algorithms. The objective of this research was to provide an equation … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 7,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of the Tunnel Face Stability through a Ground Stress Analysis with a Hemispherical Geometry ApproximationPierpaolo OresteThe evaluation of the stability of the excavation face is an important aspect in the design of a tunnel. When it is not possible to ensure excavation face stability in natural conditions, it is in fact necessary to intervene with remarkably costly reinforcement operations. The analysis of the stability conditions of an excavation face can be conducted, with a certain … …American Journal of Applied Sciences, Vol. 11, Issue 12 · 8 Jan 2015 · 6,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractMISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSIONJumlong Vongprasert, Bhusana PremanodeMissing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSMRI) for missing data estimation and secondly to compare its efficiency of estimation and statistical power of a … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 3 May 2014 · 6,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractEMPIRICAL DETERMINATION OF THE AVERAGE ANNUAL RUNOFF COEFFICIENT IN THE MEDITERRANEAN AREAGiovanni Grillone, Giorgio Baiamonte, Francesco D’AsaroRunoff estimation in ungauged basin is a challenge for the hydrological engineers and planners. For any hydrological study on an ungauged basin, a methodology has to be appropriately selected for the determination of runoff at its outlet. Several methods have been used to estimate the basin runoff production. In this study the empirical Kennessey method to determine average annual runoff … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 5 Dec 2013 · 8,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter Estimation and Determination of Sample Size in Logistic RegressionAdeleke Kazeem Adedayo, Dawud Adebayo AgunbiadeThe determination of Sample-Size is often an important step in planning a statistical study and it is usually a difficult task. Among the important hurdles to be surpassed, one must obtain an estimate of one or more error variances and specify an effective sample size of importance. The study was carried out to check for the estimation of parameter and … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 4 Feb 2013 · 6,918 accessesView PDFCite