Sugarcane transportation process modeling by time series approach [PDF]
Iran Agricultural Research, 2018 Sugarcane is one of the severely perishable crops that is used as raw material for white sugar production. Sucrose content of the sugarcane which is of high commercial value decreases in quality due to pre-harvest burning, high ambient temperature, kill ...
F. Afsharnia, A. Marzban, A. Abdeshahi
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Acta Periodica Duellatorum, 2013 The paper aims at reinterpreting the so called ‘Teutonic estoc’ (inventory number: MNK XIV-49) from the Czartoryski Princes Collection, Cracow, Poland.
Talaga Maciej
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Modelling International Tourist Arrivals Volatility in Zimbabwe Using a GARCH Process [PDF]
African Journal of Hospitality, Tourism and Leisure, 2021 The aim of the paper was to develop bootstrap prediction intervals for international tourism demand and volatility in Zimbabwe after modelling with an ARMA-GARCH process.
Tendi Makoni, Delson Chikobvu
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Application to predict the new student’s score using time series algorithm
Jurnal Informatika, 2020 With the rapid development of information technology in this era, data accuracy is essential in our daily lives to solve existing problems. The existence of information is beneficial in helping the decision-making process.
Sinar Nadhif Ilyasa, Husni Thamrin
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Prediction Zayandeh - Rood discharge using time series Case study: East of Isfahan plain [PDF]
جغرافیا و آمایش شهری منطقهای, 2016 Predicting the amount of available water is one of the important and effective factors in programming and managing the water resources and its estimation during various temporal scales has great importance in agricultural planning. Time series is one of
Dr. Sedighe Kiyani Salmi +2 more
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2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 Singular random signals are collections of singular random variables indexed over time. Singular random variables have continuous distribution with derivatives equal to zero almost everywhere. Such random variables do not seem interesting in signal processing. On the contrary, the paper shows that simple signals can be singular.
Picinbono, Bernard, Tourneret, Jean-Yves
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Comparative Study Among Different Time Series Models for Monthly Rainfall Forecasting in Shiraz Synoptic Station, Iran [PDF]
Water Harvesting Research, 2018 In this research, monthly rainfall of Shiraz synoptic station from March 1971 to February 2016 was studied using different time series models by ITSM Software.
Mehdi Bahrami +4 more
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Model selection criteria and quadratic discrimination in ARMA and SETAR time series models [PDF]
, 2004 We show that analyzing model selection in ARMA time series models as a quadratic discrimination problem provides a unifying approach for deriving model selection criteria.
Peña, Daniel, Galeano, Pedro
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Investigation of the performance and accuracy of multivariate timeseries models in predicting EC and TDS values of the rivers of Urmia Lake Basin [PDF]
Journal of Advances in Environmental Health Research, 2017 Considering the complexity of hydrological processes, it seems that multivariate methods may enhance the accuracy of time series models and the results obtained from them by taking more influential factors into account.
Mohammad Soleimani +2 more
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Assessment and Analysis of River Drought Volume by Using Historical and Forecasted Data (Case Study: Western Rivers of Lake Urmia) [PDF]
علوم و مهندسی آبیاری, 2015 Flood and drought analysis accuracy and estimating return period of droughts depend on selecting type of distribution functions and method of estimating parameters.
Keivan Khalili +2 more
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