Results 21 to 30 of about 6,424 (292)

معالجة عدم استقراریة السلسلة الزمنیة - مراجعة مقال- [PDF]

المجلة العراقية للعلوم الاحصائية, 2022
the    time series is a problem in econometric analysis as the statistical properties of series analysis are lost when using unstable time series.
Alla abd alsatar, Nada Nazar Alobaidi, Zainab Tawfeq   +2 more
doaj   +1 more source

PERAMALAN MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN VERIFIKASI HASIL PERAMALAN MENGGUNAKAN GRAFIK PENGENDALI TRACKING SIGNAL (STUDI KASUS: DATA IHK PROVINSI KALIMANTAN TIMUR)

Barekeng, 2020
This study uses IHK data from East Kalimantan Province in January 2016 to February 2019, which has a patterned trend. Data that shows a trend, can use double exponential smoothing forecasting one parameter from Brown and two parameters from Holt.
Humairo Dyah Puji Habsari, Ika Purnamasari, Desi Yuniarti   +2 more
doaj   +1 more source

A Comparison of the Smoothing Constant Values Among Exponential Smoothing Methods in Commodity Prices Forecasting

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Commodity prices forecasting is one of the business functions to estimate future demand based on past data trend. This study aims to implement a trial and error technique of the constant (alpha α) value in the exponential smoothing method.
Hazriani Hazriani, Yuyun, Mashur Razak
doaj   +1 more source

PERAMALAN JUMLAH KLAIM DENGAN MEMBANDINGKAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI BROWN DAN DOUBLE EXPONENTIAL SMOOTHING DARI HOLT

Perwira Journal of Science & Engineering, 2021
Time series model is that model uses to prediction the future with the past data, one of example of time series is exponential smoothing. Exponential smoothing  is repair procedure where’s it done continuely at forecasting by new data. In this research Exponential Smoothing metode applied to forecasting amount of claim in Health BPJS at jambi with use ...
Nayla Desviona, Trima Asriyati, Ditayatul Rahayu, Bangkit Prima Yudha   +3 more
openaire   +2 more sources

Exponential smoothing constant determination to minimize the forecast error

, 2022
One of the fundamental issues in exponential smoothing is to determine the smoothing constants. Researchers usually use the determination available in the statistical software. However, the result may not able to minimize the forecast error.
Noor, N. A. M., Rahman, N. H. A.
core   +1 more source

Exponential smoothing for irregular data [PDF]

, 1992
summary:Various types of exponential smoothing for data observed at irregular time intervals are surveyed. Double exponential smoothing and some modifications of Holt’s method for this type of data are suggested.
Fried, R, Tomśš Cipra, Bejda, Přemysl, Christophe Croux, Tomáš Cipra, Sarah Gelper, Croux, C, Croux, Christophe, Fried, Roland, Gelper, SEC Sarah, Roland Fried, Gelper, Sarah, Fried, R., Cipra, Tomáš   +13 more
core   +1 more source

Forecasting Human Development Index With Double Exponential Smoothing Method And Acorrect Determination

International Journal of Business, Economics, and Social Development, 2023
Human development is now seen as a measure of the success of the development of a nation which is closely related to the economic, social, cultural, political and environmental fields.
Agum Surya Ramadhan, Agung Prabowo, Rabiu Hamisu Kankarofi, Ibrahim Mohammed Sulaiman   +3 more
doaj   +1 more source

Perbandingan Peramalan Dengan Metode Eksponensial Smoothing dan Winter Multiplicative Seasonality pada Data Penjualan Songkok Nasional UMKM di Kabupaten Gresik

Matematika, 2019
Abstrak. Data penjualan songkok Nasional yang diproduksi oleh UMKM kabupaten Gresik selalu mengalami fluktuatif dan data tersebut juga berpengaruh adanya trend naik.
Anik Rufaidah, Muhamad Afif Effindi
doaj   +1 more source

Forecasting Product Selling Using Single Exponential Smoothing and Double Exponential Smoothing Methods

IOP Conference Series: Materials Science and Engineering, 2019
Abstract The purpose of research is to observe forecasting product selling. The methods used are Single Exponential Smoothing and Double Exponential Smoothing. The result showed that MAPE of Single Exponential Smoothing is 20% and MAPE of Double Exponential Smoothing around 24%.
F Sidqi, I D Sumitra
openaire   +1 more source

On Holt Winters Algorithm with Decomposition for Forecasting Financial Time Series with Complex Seasonal Patterns [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ
One of the most important challenges when analyzing and forecasting the time series is the stability of the series and determining components of the time series such as trend and seasonal.
منى نزيه على عبد البارى
doaj   +1 more source