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Nov 30, 2018Open    AccessArticle

Modeling Wind Energy Using Copula

Zuhair Bahraoui, Fatima Bahraoui, M. Amin Bahraoui
In most studies related to wind energy, the quantity of the air density is consid-ered constant, but actually, we know that it is variable and depending on others natural factors. We present a new procedure to estimate the wind density power energy by simulating the components of the air density. The procedure uses the copula theory and demonstrates that the estimated power energy is higher if
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Nov 30, 2018Open    AccessArticle

Cointegration Based Regression to Analyse Linkage between Share Price Index and Macroeconomic Variables: Evidence from Colombo Stock Exchange

Gayani Thalagoda, Kusal Rathnayake, Sachith Abeysundara
The main objective of the study is to investigate the long run performance of the All Share Price Index (ASPI) of the Colombo Stock Exchange, based on the economic activities of Sri Lanka using cointegration and auto regressive time series. The cointegration test illustrates that share price index is cointegrated with a specific set of macroeconomic variables, i.e. exchange rate (USD/LKR), money supply, wage rates, wet foreign ass
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Jul 16, 2018Open    AccessArticle

Studying the Changes of an Optimal Trajectory

Ahmed Mohamed Mohamed El-Sayed
This paper provides an extension to an optimal control problem using the negative logarithm of deterioration and spoilage function as total cost. This function must be minimized at the end of planning period depending on the alternative quadratic exponential form. The co-state variable   has negative values along the optimal trajectory according to the Pontryagin Minimum Principle (PMP). The different values of this co-state
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May 24, 2017Open    AccessArticle

Properties of the Maximum Likelihood Estimates and Bias Reduction for Logistic Regression Model

Nuri H. Salem Badi
A frequent problem in estimating logistic regression models is a failure of the likelihood maximization algorithm to converge. Although popular and extremely well established in bias correction for maximum likelihood estimates of the parameters for logistic regression, the behaviour and properties of the maximum likelihood method are less investigated. The main aim of this paper is to examine the behaviour and properties of the pa
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May 15, 2017Open    AccessArticle

3D Matrix Ring with a “Common” Multiplication

Orgest ZAKA
In this article, starting from geometrical considerations, he was born with the idea of 3D matrices, which have developed in this article. A problem here was the definition of multiplication, which we have given in analogy with the usual 2D matrices. The goal here is 3D matrices to be a generalization of 2D matrices. Work initially we started with 3×3×3 matrix, and then we extended to m×n×matrices. In this article, we give the meaning of 3D matrices. We als...


Jan 04, 2017Open    AccessArticle

A Note on the Connection between Likelihood Inference, Bayes Factors, and P-Values

Andrew A. Neath
The p-value is widely used for quantifying evidence in a statistical hypothesis testing problem. A major criticism, however, is that the p-value does not satisfy the likelihood principle. In this paper, we show that a p-value assessment of evidence can indeed be defined within the likelihood inference framework. Included within this framework is a link between a p-value and the likelihood ratio statistic. Thus, a link between a p-
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Dec 28, 2016Open    AccessArticle

A Graphical Classification of European Countries According to Physical Activity Level of Its Citizens

Daniel Ríos, Toni Monleón-Getino, Marta Cubedo, Martín Ríos
Data on self-reported frequency of exercising or playing sport of adults aged 15 and above in 27 EU countries were collected, from the European Commission’s Special Eurobarometer. A graphical output was obtained using classical a statistical methodology known as metric Multidimensional Scaling method to better define the interrelationships between a large set of variables for the data from the 27 European countries and “average” c
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Oct 26, 2016Open    AccessArticle

Facilitating the Automatic Characterisation, Classification and Description of Biological Images with the VisionBioShape Package for R

Biel Stela, Antonio Monleón-Getino
Here, we present the VisioBioshapeR package for R [R Core, 2014]. This new library is a comprehensive, multifunctional toolbox designed to automatically analyse biological images. The package extends other common libraries (Momocs, ShapeR) used for biological shape analysis by allowing the user to extract closed contour outlines automatically from reading binary images. Current functionalities of VisioBioshapeR include: random ext
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Oct 17, 2016Open    AccessArticle

Soft Vibrational Force on Stock Market Networks

Mehmet Ali Balci, Qmer Akgüller
Stock market networks commonly involve uncertainty, and the theory of soft sets emerges as a powerful tool to handle it. In this study, we present a soft analogue of the differential of a vibrational potential function acting on a stock market network as vibrational force. For this purpose, we first study the vibrational potential function operating on each vertex by using the Laplacian of the neighborhood graph, then applied the
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Sep 28, 2016Open    AccessArticle

An Application of Bootstrapping in Logistic Regression Model

Isaac Akpor Adjei, Rezaul Karim
Computer intensive methods have recently been intensively studied in the field of mathematics, statistics, physics, engineering, behavioral and life sciences. Bootstrap is a computer intensive method that can be used to estimate variability of estimators, estimate probabilities and quantile related to test statistics or to construct confidence intervals, explore the shape of distribution of estimators or test statistics and to con
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