The stock price data series of PT United Tractors in the period of December 1th 2008 to December 29th 2014 is fluctuative. To model data nonlinear time series one method that can be used is Smooth Transition Autoregressive (STAR), if the function of an exponential transition then a method that can be used is Exponential Smooth Transition Autoregressive (ESTAR). In modelling ESTAR determined transition variable (s_t) of transition function G(s_t,γ,c). Of the research result obtained model ESTAR (1,1). With significance level of 5% obtainedthe value of the stock price data for pt united tractors in the next four to the original.It was also strengthened by the percentage of the mean absolute mape error 0,768233 % ) are relatively small. K...
Peramalan merupakan suatu alat bantu yang dapat digunakan untuk acuan dalam melaksanakan perencanaan...
Palm oil is an agricultural commodity that has an important role in the global economy. Palm oil is ...
In This article discusses about forcasting of agricultural production using expontential smoothing i...
The stock price data series of PT United Tractors in the period of December 1th 2008 to December 29t...
Metode Smooth Transition Autoregressive (STAR) adalah data deret waktu nonlinear yang dimana perluas...
Investment is an activity in a particular business that aims to gain profit. In the investment activ...
Eka Sari Putri Wardoyo, 2014. PROSEDUR MODEL EXPONENTIAL SMOOTH TRANSITION AUTOREGRESSIVE (...
Runtun waktu adalah rangkaian data berupa nilai pengamatan (observasi) yang diukur berdasarkan waktu...
Runtun waktu adalah rangkaian data berupa nilai pengamatan (observasi) yang diukur berdasarkan waktu...
PT. United Tractors is a heavy equipment distribution company selling spare parts such as oil filter...
This study aims to apply nonlinear Smooth Transition Autoregressive (STAR)-type model to the Malaysi...
Runtun waktu finansial dan perekonomian suatu negara, termasuk kurs mempunyai kecenderungan nonlini...
One method of predicting stock prices is to use the time series analysis method. In this method, a l...
A time series model that explain the structural changes associated with data in a certain time perio...
A time series model that explain the structural changes associated with data in a certain time perio...
Peramalan merupakan suatu alat bantu yang dapat digunakan untuk acuan dalam melaksanakan perencanaan...
Palm oil is an agricultural commodity that has an important role in the global economy. Palm oil is ...
In This article discusses about forcasting of agricultural production using expontential smoothing i...
The stock price data series of PT United Tractors in the period of December 1th 2008 to December 29t...
Metode Smooth Transition Autoregressive (STAR) adalah data deret waktu nonlinear yang dimana perluas...
Investment is an activity in a particular business that aims to gain profit. In the investment activ...
Eka Sari Putri Wardoyo, 2014. PROSEDUR MODEL EXPONENTIAL SMOOTH TRANSITION AUTOREGRESSIVE (...
Runtun waktu adalah rangkaian data berupa nilai pengamatan (observasi) yang diukur berdasarkan waktu...
Runtun waktu adalah rangkaian data berupa nilai pengamatan (observasi) yang diukur berdasarkan waktu...
PT. United Tractors is a heavy equipment distribution company selling spare parts such as oil filter...
This study aims to apply nonlinear Smooth Transition Autoregressive (STAR)-type model to the Malaysi...
Runtun waktu finansial dan perekonomian suatu negara, termasuk kurs mempunyai kecenderungan nonlini...
One method of predicting stock prices is to use the time series analysis method. In this method, a l...
A time series model that explain the structural changes associated with data in a certain time perio...
A time series model that explain the structural changes associated with data in a certain time perio...
Peramalan merupakan suatu alat bantu yang dapat digunakan untuk acuan dalam melaksanakan perencanaan...
Palm oil is an agricultural commodity that has an important role in the global economy. Palm oil is ...
In This article discusses about forcasting of agricultural production using expontential smoothing i...