COMPARISON OF LEAST SQUARE SPLINE AND ARIMA MODELS FOR PREDICTING INDONESIA COMPOSITE INDEX
The Indonesian Composite Index (ICI) reflects Indonesia's economic growth. ICI predictions are significant considerations for investors when making investment decisions. Two approaches can be used to predict ICI: parametric and nonparametric approaches. Therefore, this study compares parametric...
Saved in:
| Main Authors: | Any Tsalasatul Fitriyah, Nur Chamidah, Toha Saifudin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2025-07-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17363 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MODELING THE INFLUENCE OF CRUDE OIL PRODUCTION AGAINST INDONESIAN SOLAR WHOLESALE PRICE INDEX WITH LEAST SQUARE SPLINE ESTIMATOR APPROACH
by: Rosidun Nindyo Pratiwi, et al.
Published: (2025-04-01) -
COMPARISON OF ARIMA AND GARMA'S PERFORMANCE ON DATA ON POSITIVE COVID-19 CASES IN INDONESIA
by: A'yunin Sofro, et al.
Published: (2022-09-01) -
ROBUST LEAST MEDIAN OF SQUARE MODELLING USING SEEMINGLY UNRELATED REGRESSION WITH GENERALIZED LEAST SQUARE ON PANEL DATA FOR TUBERCULOSIS CASES
by: Amanda Adityaningrum, et al.
Published: (2024-10-01) -
TREND SEMI AVERAGE AND LEAST SQUARE IN FORECASTING YAMAHA MOTORCYCLE SALES
by: Ines Saraswati Machfiroh, et al.
Published: (2022-03-01) -
Haemoglobin Levels Analysis Using Robust Partial Least Square Regression Models
by: Taha Ali, et al.
Published: (2025-06-01)