scholarly journals Modeling and Forecasting of Tourism Demand in Malaysia

2020 ◽  
Vol 03 (12) ◽  
Author(s):  
Siti Syahirah Abdul Halim ◽  
Keyword(s):  
Time Series ◽  
Singular Spectrum Analysis ◽  
The Philippines ◽  
Series Method ◽  
Monthly Data ◽  
Foreign Tourist ◽  
The United Kingdom ◽  
Modeling And Forecasting ◽  
Time Series Method ◽  
Tourist Demand

The pattern of foreign tourist demand to Malaysia is analysed and forecasted using time series method and non-linear technique. There are nine selected countries that contribute a lot to tourist arrivals to Malaysia, namely Australia, Brunei, China, Indonesia, India, Japan, the Philippines, South Korea, and the United Kingdom. Box-Jenkins time series method and Singular Spectrum Analysis are conducted and compared to study the best model to forecast the foreign tourist demand to Malaysia. Monthly data of tourism arrival in 1990 to 2014 were used and the forecasting were compared with 2015. Based on the results obtained, the forecasting model of Box-Jenkins time series method is the best model based on the percentage accuracy in forecasting the tourist demand to Malaysia.

Waveform computations by the time-series method

1952 ◽  
Vol 1952 (10) ◽  
pp. 246-246 ◽  
Author(s):  
N.W. Lewis
Keyword(s):  
Time Series ◽  
Series Method ◽  
Time Series Method

scholarly journals IMPLEMENTASI METODE FUZZY TIME SERIES DENGAN MODEL ALGORITMA CHEN UNTUK MEMPREDIKSI HARGA EMAS

2020 ◽  
Vol 13 (1) ◽  
pp. 71-78
Author(s):  
Darsono Nababan ◽  
Eric Alexander
Keyword(s):  
Time Series ◽  
Interest Rates ◽  
Gold Price ◽  
Fuzzy Time Series ◽  
Actual Data ◽  
Series Method ◽  
Market Uncertainty ◽  
Low Interest Rates ◽  
Calculation Results ◽  
Time Series Method

Gold is one of the people's preferred forms of investment and is considered the safest (save -heaven). Gold risk which is considered small is the main attraction because in general Indonesian people are not yet familiar with capital market investments such as stocks and mutual funds. But the price of gold is very volatile as for the factors that affect the fluctuations of gold are consumption demand, volatility and market uncertainty, protection of low-interest rates, and the US dollar. Predicting the movement of the gold price and knowing where the direction of the exchange rate moves and determining the price of gold up or down cannot be done accurately and consistently. For this reason, in reducing the risk of loss, an application is needed to predict gold prices using the Fuzzy Time Series Chen algorithm using MATLAB software. In this study to obtain prediction results and comparison charts using actual data and prediction data for the 2015-2017 gold price. From the calculation results obtained by the prediction results with the Fuzzy Time Series method with the Chen algorithm where the average difference between the actual data and prediction data is not more than Rp. 2,850, - where predictions using the Fuzzy Time Series method Chen's algorithm is sufficient to use 1 data to predict the second data which makes this method accurate in predicting the price of gold.

Comparison Analysis of Aircraft Aluminum Alloy Corrosion Damage Forecasting Method

2012 ◽  
Vol 268-270 ◽  
pp. 348-351
Author(s):  
Zhi Guo Liu ◽  
Zhi Tao Mu ◽  
Zeng Jie Cai
Keyword(s):  
Time Series ◽  
Aluminum Alloy ◽  
Corrosion Damage ◽  
Neural Net ◽  
Series Method ◽  
Comparison Analysis ◽  
Forecasting Accuracy ◽  
Fitting Method ◽  
Forecasting Method ◽  
Time Series Method

Three different analysis methods was put forward to carried out aircraft aluminum alloy structure corrosion damage forecasting,and comparison analysis of different method which included basic forecasting caculation principle and forecasting accuracy and forecasting extensionality also was discussed.The forecasting calculation result shows that the prediction accuracy of neural net and time series method is higher than the data fitting method,and the prediction extensionality of time series method is the best among the three method which discussed.

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