نتایج جستجو برای: box jenkins time series

تعداد نتایج: 2196112  

Background: Road traffic accidents in Iran are a critical issue that hinders economic development and one of the main threats to the health and safety of people in the community. The statistics indicate that after cardiovascular diseases, traffic accidents are the second leading cause of death in different age groups, which reflects the necessity of prediction in this area. Materials and Metho...

2015
Cheng-Jian Lin Cheng-Hung Chen

Prediction has been widely studied for many years as time series analysis (Box & Jenkins, 1970; Tong, 1990). Traditionally, prediction is based on a statistical model that is either linear or nonlinear (Li et al., 1990). Recently, several studies have adopted neural fuzzy networks to predict time series (Cowder, 1990; Kasabov & Song, 2002; Ling et al., 2003). Researchers have discussed that the...

افروزی, علی, زارع ابیانه, حمید,

Regarding the reliance of the agricultural and industrial sections and the drinking water on the groundwater resources in Hamadan province, the modeling and forecasting groundwater level fluctuations to utilize the resources is a basic necessity. One of the usual method in this way is the utilization of the time series models that give simply and clearly good short-term forecasts if the models ...

2000
Ilan Alon Min Qi Robert J. Sadowski

Like many other economic time series, US aggregate retail sales have strong trend and seasonal patterns. How to best model and forecast these patterns has been a long-standing issue in time-series analysis. This article compares arti"cial neural networks and traditional methods including Winters exponential smoothing, Box}Jenkins ARIMA model, and multivariate regression. The results indicate th...

Background/aim:  One of the indicators for measuring the development of a country is its death rate caused by accidents and disasters. Every year, many people in Iran are drowned for various reasons. The aim of this study was to predict the trend of drowning mortality in Iran using statistical models. Method: This research was a longitudinal study using time-series data of drowning deaths obta...

Journal: :iranian journal of pharmaceutical sciences 0
yashar sarbaz neuromuscular systems lab, biomedical engineering faculty, amirkabir university of technology, tehran, iran hossein babaei drug applied research center, tabriz university of medical sciences, tabriz 51664, iran, faculty of pharmacy, tabriz university of medical sciences, tabriz 51664, iran shahriar gharibzadeh neuromuscular systems lab, biomedical engineering faculty, amirkabir university of technology, tehran, iran farzad towhidkhah neuromuscular systems lab, biomedical engineering faculty, amirkabir university of technology, tehran, iran hamed osuli department of electrical engineering, sahand university of technology, tabriz, iran somaieh soltani kimia research institute, p.o. box 51665-171, tabriz, iran abolghasem jouyban

drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. mathematical modelling is one of the possible solutions to speed up this process. in this study, we have presented box-jenkins model, to predict the vasorelaxant activity (pec50) of a set of benzopyrane compounds. we used the hyperchem sof...

1998
David de la Fuente Raúl Pino José Parreño

The aim of this paper is to prove the validity of an alternative prediction technique to another classical one, which is Box-Jenkins methodology, in order to produce multivariate prediction. In particular, one-step ahead forecasts will be obtained for two time series: thermic and hydraulic power production. These forecasts are based on the past values of those series.

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...

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