نتایج جستجو برای: auto regressive moving average exogenous

تعداد نتایج: 546929  

Journal: :CoRR 2009
Adhistya Erna Permanasari Dayang Rohaya Awang Rambli P. Dhanapal Durai Dominic

Zoonosis refers to the transmission of infectious diseases from animal to human. The increasing number of zoonosis incidence makes the great losses to lives, including humans and animals, and also the impact in social economic. It motivates development of a system that can predict the future number of zoonosis occurrences in human. This paper analyses and presents the use of Seasonal Autoregres...

2000
A. Parvaresh

In this study we have analysed wind and wave time series data resulting from hourly measurements on the sea surface in Bushehr, the northern part of the Persian Gulf, from 15 July to 4 August 2000. Wind speed (U10) ranged from 0.34 to 10.38 m/s as alternating sea and land breezes. The lowest wind speed occurs at about midnight and the highest at around noon. The calculated autocorrelation of wi...

2015
Judah Levine

I will report on a study of the usefulness of ARMA time scale algorithms to synchronize clocks on a digital network. The algorithm acquires periodic time differences between a local system clock and a remote time server by means of any of the standard message formats such as the format used by the Network Time Protocol. It models the current time difference as a linear combination of previous t...

2004
Taeho Jo

Since 1990s, many literatures have shown that connectionist models, such as back propagation, recurrent network, and RBF (Radial Basis Function) outperform the traditional models, MA (Moving Average), AR (Auto Regressive), and ARIMA (Auto Regressive Integrated Moving Average) in time series prediction. Neural based approaches to time series prediction require the enough length of historical mea...

Journal: :journal of biostatistics and epidemiology 0
mohammad moqaddasi-amiri research center for modeling and health, institute for futures studies in health, department of epidemiology and biostatistics, school of public health, kerman university of medical sciences, kerman, iran abbas bahrampour research center for modeling and health, institute for futures studies in health, department of epidemiology and biostatistics, school of public health, kerman university of medical sciences, kerman, iran

b a c k g r o u n d & aim: one of the common used models in time series is auto regressive integrated moving  average  (arima)  model.  arima  will  do  modeling  only  linearly.  artificial  neural networks (ann) are modern methods that be used for time series forecasting.  these models can identify non-linear relationships  among data. the breast cancer has the most mortality of cancers among...

Journal: :Signal Processing 2011
Hu Sheng Yangquan Chen

Great Salt Lake (GSL) is the largest salt lake in the western hemisphere, the fourthlargest terminal lake in the world. The elevation of GSL has critical effect on the people who live nearby and their properties. It is crucial to build an exact model of GSL elevation time series in order to predict the GSL elevation precisely. Although some models, such as ARIMA or FARIMA (fractional auto-regre...

Chahkoutahi, F., Khashei, M.,

Nowadays, electricity load forecasting, as one of the most important areas, plays a crucial role in the economic process. What separates electricity from other commodities is the impossibility of storing it on a large scale and cost-effective construction of new power generation and distribution plants. Also, the existence of seasonality, nonlinear complexity, and ambiguity pattern in electrici...

Journal: :Journal of Global Economy 2022

This study assesses the connection between money supply and economic growth in developing countries. The made use of time series data from National Bureau Statistics (NBS) Bank Tanzania. was looked at using Auto Regressive Distributed Lag Model (ARDL). demonstrates that overall, has a significant favorable effect on expansion. results demonstrate boosts underdeveloped nations. indicate that, wh...

In this paper, an additive self-tuning (ST) control scheme is presented for a static synchronous series compensator (SSSC) to improve performance of conventional PI control system for damping sub-synchronous resonance (SSR) oscillations. The active and reactve series compensation are provided by a three-level 24-pulse SSSC and fixed capacitor. The proposed ST controller consists of a pole shift...

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