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283.022  Articles
1 of 28.303 pages  |  10  records  |  more records»
Autoregressive moving average (ARMA) modeling has been used in many fields. This paper presents an approach to time series analysis of a general ARMA model parameters estimation. The proposedtechnique is based on the singular value decomposition (SVD) of ... see more

Context. Software testing effort estimation is one of the important problems in software development and software testing lifecycle. The object of the study is the process of estimating the agile testing efforts for small Web projects. The subject of the ... see more

Context. Using of the conventional methods of Gaussian decomposition in the case, when the original data are distorted by impulsivenoise, leads to considerable errors. The object of this study is the process of Gaussian decomposition in an impulsive noise... see more

Context. The problem of estimating the software size in the early stage of a software project is important, since the informationobtained from estimating the software size is used for predicting the software development effort, including open-source Java-... see more

In this paper we consider pricing problems of the geometric average Asian options under a non-Gaussian model, in which the underlying stock price is driven by a process based on non-extensive statistical mechanics. The model can describe the peak and fat ... see more

Having a good knowledge of the time and cost required to build a tunnel can be very important in reducing uncertainties related to the management of its construction. In this paper, using data obtained from the constructed parts of a tunnel, Gaussian proc... see more

Damage to specimen collections occurs in practically every herbarium across the world. Hence, some precautions must be taken, such as investigating the factors that cause specimen damage in their collections and evaluating their herbarium collection handl... see more

The Geographically Weighted Logistic Regression (GWLR) model is a logistic regression model development that is applied to spatial data from non-stationary processes. This model is used to predict a model of the data set that has a binary response variabl... see more

Nowadays, motion tracking application is widely used for many purposes, such as detecting traffic jam and counting how many people enter a supermarket or a mall. A method to separate background and the tracked object is required for motion tracking. It wi... see more

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