Add to ORKGThe objective of the research is to estimate the month-ahead temperature records in Jerusalem, Palestine. In this study, the modeling mechanism of analytic for forecasting is considered. This paper explores implementation of ARIMA and GARCH modeling techniques to fit a historical data set and estimate the coefficients of the suitable models for fitting the average monthly temperature data of Jerusalem in Palestine for the period from January 1964 to December 2013. The analysis of this study are carried out with the assist of R software. Eventually, using differ- ent statistical measures, comparison efficiency between ARIMA(2, 0, 1)(2, 1, 1)12 and AR(1)-GARCH(1,1) models are produced. AR(1)-GARCH(1,1) is detected to be a better than ARIMA(2,...
In this study a seasonal ARIMA model was built using Box and Jenkins method to forecast long term ra...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, ARIMA14...
The ARIMA model was employed to investigate annual inflation rates in Egypt from 2018 t...
The objective of the research is to estimate the month-ahead temperature records in Jerusalem, Pales...
This study discusses the application of ARIMA models in weather forecasting. A seasonal ARIMA model ...
In this article we are interested in the time series modeling of the average monthly maximum tempera...
Time series analysis and forecasting has become a major tool in different applications in meteorolog...
The current study is intended to investigate the applicability of a special class of time series mod...
Abstract: Problem statement: Time series analysis and forecasting has become a major tool in differe...
This work studies seasonal time series models with application to lake level and weather data. The t...
The state of global pandemonium of the [1] report on climate change has necessitated much research i...
ARIMA models are often used to model the evolution in time of economic issues. We demonstrate that a...
Autoregressive Integrated Moving Average (ARIMA) processes of various orders are presented to identi...
International audienceIn time series analysis the autoregressive integrate moving average (ARIMA) mo...
Temperature is one of the main climatic elements that can indicate climate change as climate change ...
In this study a seasonal ARIMA model was built using Box and Jenkins method to forecast long term ra...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, ARIMA14...
The ARIMA model was employed to investigate annual inflation rates in Egypt from 2018 t...
The objective of the research is to estimate the month-ahead temperature records in Jerusalem, Pales...
This study discusses the application of ARIMA models in weather forecasting. A seasonal ARIMA model ...
In this article we are interested in the time series modeling of the average monthly maximum tempera...
Time series analysis and forecasting has become a major tool in different applications in meteorolog...
The current study is intended to investigate the applicability of a special class of time series mod...
Abstract: Problem statement: Time series analysis and forecasting has become a major tool in differe...
This work studies seasonal time series models with application to lake level and weather data. The t...
The state of global pandemonium of the [1] report on climate change has necessitated much research i...
ARIMA models are often used to model the evolution in time of economic issues. We demonstrate that a...
Autoregressive Integrated Moving Average (ARIMA) processes of various orders are presented to identi...
International audienceIn time series analysis the autoregressive integrate moving average (ARIMA) mo...
Temperature is one of the main climatic elements that can indicate climate change as climate change ...
In this study a seasonal ARIMA model was built using Box and Jenkins method to forecast long term ra...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, ARIMA14...
The ARIMA model was employed to investigate annual inflation rates in Egypt from 2018 t...