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769 results for “Statistical MT”
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Research ArticleOpen accessIn the abstractImpact of Foreign Aid on Economic Development in Jordan (1990-2005)Mwafaq Dandan Al-KhaldiThe analysis of the impact of foreign aid on economic development, suggest that poor countries have to relay on the foreign aid as a resource to fill the deficit. There are many form of foreign resources like Foreign Direct Investment (FDI), External Loans and Credit, Technical Assistance, Project and non Project Aid and many other forms. But most of under … …Journal of Social Sciences, Vol. 4, Issue 1 · 31 Mar 2008 · 8,502 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstruction of Control Charts Using Fuzzy Multinomial QualityV. Amirzadeh, M. Mashinchi, M.A. YaghoobiControl charts are the simplest type of on-line statistical process control techniques. One of the basic control charts is P-chart. In classical P-charts, each item classifies as either "nonconforming" or "conforming" to the specification with respect to the quality characteristic. In practice, one may classify each item in more than two categories such as "bad", "medium", "good", and "excellent". Based … …Journal of Mathematics and Statistics, Vol. 4, Issue 1 · 31 Mar 2008 · 7,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Socio-Economic Factors Influencing Forest Dwellers' Participation in Reforestation and Development of Forest Areas (The Case Study of West Mazandaran, Iran)E. Faham, A. Rezvanfar, T. ShamekhiThe main purpose of this study was to investigate the links between forest dwellers’ participation in reforestation and development of forest areas in west Mazandaran of Iran and a set of socio-economic variables. The statistical population includes all forest dwellers living in villages, which locate in the west Mazandaran in Iran and had been covered by local forestry cooperative. A … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 1 · 31 Mar 2008 · 7,765 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Offline Signature Verification Scheme Using Feature Point Extraction MethodDebasish Jena, Banshidhar Majhi, Sanjay K. JenaSignature verification is a technology that can solve security problems in our networked society. A new improved offline signature verification scheme is proposed which is based on selecting 60 feature points from the geometric centre of the signature and compares them with the already trained feature points. The classification of the feature points utilizes statistical parameters like mean and variance. … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 6,886 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractSome Algorithms to Identify Rational Structures in Stochastic Processes with ExpectationsConcepción González-Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoThis research was concerned with the identification of rational models in stochastic processes and we use the Padé-Laurent Approximation to identify a Transfer-Function Model with Expectations. We mention the T-table method and focus in studying the generalised epsilon-algorithm, emphasizing the main role of the statistical significance of their numerical entries. Empirical work is made for non-causal TF models using both … …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Discrete Time Markov Chain with Correlated Transition ProbabilitiesPeerayuth CharnsethikulThis study presents a computational procedure for analyzing statistics of steady state probabilities in a discrete time Markov chain with correlations among their transition probabilities. The proposed model simply uses the first order Taylor’s series expansion and statistical expected value properties to obtain the resulting linear matrix equations system. Computationally, the bottleneck is O(n4) but can be improved by distributed … …Journal of Mathematics and Statistics, Vol. 2, Issue 4 · 31 Dec 2007 · 6,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupport Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power TransformerV. Malathi, N. S. MarimuthuThis study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena in power transformer. …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,743 accessesView PDFCite
Research ArticleOpen accessIn the abstractUtility of Certain Π Acceptors for Spectrophotometric Determination of Sildenafil CitrateNora H. Al-ShaalanSildenafil citrate was determined through charge transfer complexes (CTC) formation with three electron acceptor reagents. The methods involve the reaction of Sildenafil citrate as n-donor with either Chloranil (tetrachloro 1,4-benzoquinone), tetracyanoethylene (TCNE) or 7,7,8,8-tetracyanoquinodimethane (TCNQ) as n-acceptors, to give a stable and highly colored radical anion. The colored products were quantified spectrophotometrically. The condition ranges adhering to Beer's law are … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 7,388 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Implementation of Re-Sampling Technique for High Performance Multiple Classifier SystemsS. Sathiyabama, K. Thyagarajah, D. AyyamuthukumarDue to the large size of the database, the entire training dataset could not be used to construct the classifiers. One popular solution is to separate stream data into chunks, learn a base classifier from each chunk and then integrate all base classifiers to form Multiple classifier system (MCS). Sometimes this data streams does not include all the classes in … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,018 accessesView PDFCite