Results 41 to 50 of about 74,761 (297)

Peramalan Return Saham Menggunakan Model Integrated Moving Average

Jambura Journal of Mathematics, 2023
A popular investment that is in great demand among investors is stocked. Stocks are another type of financial instrument offering returns but carrying a higher risk level. Price time series are more difficult to manage than return time series.
Rizki Apriva Hidayana, Budi Nurani Ruchjana   +1 more
doaj   +1 more source

Forecasting of Indian tourism industry using modeling approach

MethodsX
Currently, India has become one of the largest economies of the world in which tourism and hospitality have significantly contributed; however, the growth rate of tourism industry has been greatly affected during the COVID-19 pandemic.
Renuka Devi, Alok Agrawal, Joydip Dhar, A.K. Misra   +3 more
doaj   +1 more source

Rubber Production Projection in Riau Province using Autoregressive Integrated Moving Average (ARIMA) Approach

Jurnal Economia, 2022
Rubber has long  been become a mainstay of Indonesian exports along with oil palm, coffee and tea. As a commodity that has increasing world demand, rubber exports are given priority.
Fadhlan Zuhdi, Rizqi Sari Anggraini, Rachmiwati Yusuf   +2 more
doaj   +1 more source

Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter [PDF]

, 2006
Long memory processes are widely used in many scientific fields, such as economics, physics, and engineering. Change point detection problems have received considerable attention in the literature because of their wide range of possible applications ...
Ko, Kyungduk
core   +2 more sources

Predicting the unemployment rate using autoregressive integrated moving average

Cogent Business & Management
The objective of this study is to predict unemployment in Indonesia in the wake of the demographic dividend. The sample used in this study is the unemployment data from 1990 to 2022 from the Indonesian Central Bureau of Statistics database.
Andrian Dolfriandra Huruta
doaj   +1 more source

A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature

Scientific Reports
This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on ...
Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan   +3 more
doaj   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Annual forecasting of inflation rate in Iran: Autoregressive integrated moving average modeling approach

Engineering Reports, 2021
Box‐Jenkins methodology is one of the most famous modeling approaches to describe the underlying stochastic structure and forecasting future values of various phenomena.
Samrad Jafarian‐Namin, Seyyed Mohammad Taghi Fatemi Ghomi, Mohsen Shojaie, Saeed Shavvalpour   +3 more
doaj   +1 more source

A Weighted Moving Average Process for Forcasting [PDF]

, 2007
A forecasting model for a nonstationary stochastic realization is proposed based on modifying a given time series into a new k-time moving average time series.
Shih, Shou Hsing, Tsokos, Chris P.
core   +3 more sources

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source