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Nov 30, 2018Open AccessArticle
In most studies related to wind energy, the quantity of the air density is considered 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 ...
Nov 30, 2018Open AccessArticle
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 ...
Jul 16, 2018Open AccessArticle
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 costate variable has negative values along the optimal trajectory according to the Pontryagin Minimum Principle (PMP). The different values of this costate ...
May 24, 2017Open AccessArticle
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 ...
May 15, 2017Open AccessArticle
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×p matrices. In this article, we give the meaning of 3D matrices. We als...
Jan 04, 2017Open AccessArticle
The pvalue is widely used for quantifying evidence
in a statistical hypothesis testing problem. A major criticism, however, is
that the pvalue does not satisfy the likelihood principle. In this paper, we
show that a pvalue assessment of evidence can indeed be defined within the
likelihood inference framework. Included within this framework is a link
between a pvalue and the likelihood ratio statistic. Thus, a link between a
p ...
Dec 28, 2016Open AccessArticle
Data on selfreported 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 ...
Oct 26, 2016Open AccessArticle
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 ...
Oct 17, 2016Open AccessArticle
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 ...
Sep 28, 2016Open AccessArticle
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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