نتایج جستجو برای: the time series models adf
تعداد نتایج: 16351317 فیلتر نتایج به سال:
In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages a...
Considering the fact that natural gas is a widely used energy source, the prediction of its consumption can be useful (Derek LAM, 2013). As Iran has one of the largest gas reserves in the world, its consumption in the country can affect the worldwide price of gas, Therefore, the current research is useful both from economic and environmental point of view. ...
Due to the important role of climatic parameters such as radiation, temperature, precipitation and evaporation rate in water resources management, this study employed time series modeling to forecast climatic parameters. After normality test of the parameters, nonparametric Mann-Kendall test was used in order to do trend analysis of data at P-value<0.05. Relative humidity and evaporation (with ...
To properly characterize the frequency and time selectivity of the fading channel, there several models used to simulate the channel, most of them based in the Jake’s simulator. In this work the second order statistics of this simulator are compared to actual measurements. The second-order statistics level crossing rate (LCR) and average duration of fading (ADF) of a random process transmits us...
chemical assessments of forage clearly determine the forage quality; however, traditional methods of analysis are somehow time consuming, costly, and technically demanding. near infrared reflectance spectroscopy (nirs) has been reported as a method for evaluating chemical composition of agriculture products, food, and forage and has several advantages over chemical analyses such as conducting c...
This paper aimed at modelling the volatility of monthly average official exchange rate (Naira/USD) using Autoregressive Integrated Moving Average (ARIMA) and Generalized Conditional Heteroscedasticity (GARCH) for period January, 1981 to December, 2021. The data study was obtained from Central Bank Nigeria 2021 Statistical Bulletin. time plot, Augmented Dickey Fuller (ADF) Phillip’s Perron (PP) ...
Accurate estimation of suspended sediment in rivers is very important from different aspects including agriculture, soil conservation, shipping, dam construction and aquatic research. There are different methods for suspended sediment estimation. In the present study to evaluate the ability of time-series models including Markov and ARIMA in predicting suspended sediment and to compare their re...
terms of address as an important linguistics items provide valuable information about the interlocutors, their relationship and their circumstances. this study was done to investigate the change route of persian address terms in the two recent centuries including three historical periods of qajar, pahlavi and after the islamic revolution. data were extracted from a corpus consisting 24 novels w...
the effect of the presence of perforations on he stresses of a plate is a problem which is of great interest in structural design and in the mathemattical theory of elasticity. among the many hole patterns that are likely to require consideration is the ring of equally spaced circular holes. the present worke investigates stress & strain analysis of a thin isotropic circular plate containing a ...
New dynamic Bayesian models for survival data analysis are applied in a study of contributory factors to unemployment. The models treat survival data as time series data, reflecting the need to model time varying relationships with explanatory variables that cannot be accommodated within standard proportional hazard models. In the present study, prior expectations that the effects of various so...
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