نتایج جستجو برای: since many time series are not normal
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In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...
In many diverse scientific fields, the measurements are directions. For instance, a biologist may be measuring the direction of flight of a bird or the orientation of an animal. A series of such observations is called ”directional data”. Since a direction has no magnitude, these can be conveniently represented as points on the circumference of a unit circle centered at the origin or as unit ...
an investigation into oral interaction in language classes: a conversation analytic point of view the aim of this thesis is to analyze the interaction between language teachers and students in english language institutes. this work is done in the context of yasuj city. learning another language, which is in most cases english, involves many variables. one of these variables is the linguistic...
the application of a comprehensive model of communicative language ability (cla) to language teaching and testing has always been an imperative in l2 education since hymess proposal of communicative competence in the 1970s. recent l2 research has clearly underscored the importance of sufficient pragmatics representation as an essential component of cla in pedagogical and testing practices in l2...
In many issues of statistical modeling, the common assumption is that observations are normally distributed. In many real data applications, however, the true distribution is deviated from the normal. Thus, the main concern of most recent studies on analyzing data is to construct and the use of alternative distributions. In this regard, new classes of distributions such as slash and skew-sla...
In the present paper we propose a method to infer on the different clusters potentially present in a panel data set that is data driven in the sense that the classification of each subject into a specific group is estimated along with the model parameters. The general model allows additionally for time-varying parameters, whereby the timing of the structural changes is also part of the model es...
In the context of many data mining tasks, high dimensionality was shown to be able to pose significant problems, commonly referred to as different aspects of the curse of dimensionality. In this paper, we investigate in the time-series domain one aspect of the dimensionality curse called hubness, which refers to the tendency of some instances in a data set to become hubs by being included in un...
Today, medicinal plants have a special place in the economy and health of a society. Due to the natural growth of many of these products, the necessity of zoning them for optimum and optimal utilization seems necessary. Traditional zoning solutions are not efficient due to their low accuracy and speed, therefore a new approach is needed. Remote sensing data have many applications in various fie...
This study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ECG) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (VT/VF). The raw ECG time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...
Abstract Key message We present a structured and curated database covering 21 years of LFMC measurements in the Catalan region, along with an associated R package to manage updates facilitate quality processing visualisation. The data set provides valuable information study plant responses drought improve fire danger prediction. Dataset access is at https://doi.org/10.5281/zenodo.4675335 , meta...
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