نتایج جستجو برای: since many time series are not normal
تعداد نتایج: 7579018 فیلتر نتایج به سال:
the main aim goal of this paper is estimating time series of social capital in iran. for this aim, first we have reviewed theoretical and empirical literature of social capital, and then we used fuzzy method for estimating time series of social capital. we used latent variable, because social capital is a qualify variable. crime and participation indexes are two related variables with social ca...
In capital markets, stock price forecasting is affected by variety of factors such as political and economic condition and behavior of investors. Determining all effective factors and level of their effectiveness on stock market is very challenging even with technical and knowledge-based analysis by experts. Hence, investors have encountered challenge, doubt and fault in order to invest with mi...
xanthan gum is a microbial polysaccharide of great commercial importance as it has unusual rheological properties in solution and consequent range of applications. in this study, a series of mutants were isolated from xanthomonas campestris ptcc 1473 by ethyl methanesulfonate mutagenesis. the polysaccharide yield of one mutant, xc1473e2, was 30% better than that of the parent strain. it also sh...
tennessee williams (1911-1983), the modern american dramatist, had his own unique school of dramaturgy. the dramas which he depicted are populated by characters who are lonely, desperate, in anxiety, alienated and in one word lost. they face challenges which they may overcome or not, through the choices they make. all these moods and conditions are clearly seen and explained in the theory of ex...
Recently, there has been a surge of Transformer-based solutions for the long-term time series forecasting (LTSF) task. Despite growing performance over past few years, we question validity this line research in work. Specifically, Transformers is arguably most successful solution to extract semantic correlations among elements long sequence. However, modeling, are temporal relations an ordered ...
Different types of time series analysis models are commonly used for predicting hydrological factors. In this study, the situation of Soleimanieh spring discharge in Kashan was investigated using various time series models and mean monthly flow during 11 year period. Then, spring discharge predicted using the best modals for future 9 years. In this research, the data were analyzed using 12 time...
Abstract. Time series of counts arise when the interest lies on the number of certain events occurring during a specified time interval. Many of these data sets are characterized by low counts, asymmetric distributions, excess zeros, over dispersion, ruling out normal approximations. Several approaches and diversified models that explicitly account for the discreteness of the data have been con...
if the precise implementation of the principle of proportion and:balance between the violation and the penalty as well as the other dimensions could be considered as a stick yard for the imptementation of justice any lack of preciseness in carrying out such principle would not indeed be much too far from injustice . naturally ,if it would be imagined that the objective of balance between...
Introduction: Graph theoretical analysis of functional Magnetic Resonance Imaging (fMRI) data has provided new measures of mapping human brain in vivo. Of all methods to measure the functional connectivity between regions, Linear Correlation (LC) calculation of activity time series of the brain regions as a linear measure is considered the most ubiquitous one. The strength of the dependence obl...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید