Results 71 to 80 of about 6,623 (127)

Optimal Forecasting for Iron Ore Price Fluctuations With Hybrid Residual/Shuffle Networks and Enhanced Spring Search Optimization

Engineering Reports, Volume 8, Issue 7, July 2026.
The structure of RSU. ABSTRACT Anticipating the iron ore cost volatility is also valuable information for the stakeholders in the mining and steel industries, which would also allow for minimizing the risk and maximizing the benefit of the decision‐making process.
Cheng Wang, Zhimei Yan, Peng Lin, Noradin Ghadimi   +3 more
wiley   +1 more source

Metode SARIMA ARCH PERAMALAN JUMLAH PRODUKSI PADI KABUPATEN NGAWI MENGGUNAKAN METODE SARIMA ARCH

Seasonal Autoregressive Integrated Moving Average (SARIMA) adalah metode peramalan time series untuk model data fluktuatif dengan pola data musiman. Model Autoregressive Conditional Heteroskedastisitas (ARCH) adalah model yang berfungsi untuk mengatasi ...
Oktaviarina, Affiati, Fortuna, Hilda Najwa Dewi   +1 more
core   +1 more source

Multivariate SARIMA model integrating meteorological variables.

, 2016
Multivariate SARIMA model integrating meteorological variables.
Hongyan Ren (105905), Dafang Zhuang (305382), Liang Lu (309548), Wei Cao (50866), Qiyong Liu (38438), Shujuan Li (523002)   +5 more
core   +1 more source

COMPARISON OF SARIMA AND SARIMAX METHODS FOR FORECASTING HARVESTED DRY GRAIN PRICES IN INDONESIA

Barekeng
Harvested dry grain (HDG) is a vital commodity for rice availability and plays a strategic role in Indonesia’s agricultural economy. Farmers typically sell HDG to rice millers post-harvest, yet disparities between farm-level selling prices and consumer ...
Riska Yulianti, Nabila Tri Amanda, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah   +4 more
doaj   +1 more source

A Closed‐Loop Human Resource Management Framework for Energy Efficiency: Integrating Predictive Optimization With Behavioral Implementation

Energy Science &Engineering, Volume 14, Issue 7, Page 3527-3541, July 2026.
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley   +1 more source

Autocorrelation and partial autocorrelation functions of SARIMA residuals.

, 2021
Autocorrelation and partial autocorrelation functions of SARIMA residuals.
Mohammad Taghi Shakeri (11302187), Vahid Fakoor (6686231), Ali Hadianfar (11302178), Razieh Yousefi (11302181), Milad Delavary (11302184), Martin Lavallière (696694)   +5 more
core   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, Volume 45, Issue 4, Page 1529-1558, July 2026.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Sarima novaehollandiae Jacobi

, 2010
Sarima novaehollandiae Jacobi (Fig. 13) Sarima novaehollandiae Jacobi 1928: 14. Type material. Syntypes 2 (sex unknown), Cedar Creek, March (NHRS). Distribution. Queensland. Note.
Fletcher, Murray J., Gnezdilov, Vladimir M.   +1 more
core   +1 more source

Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model

BMC Infectious Diseases
Background Gonorrhea has long been a serious public health problem in mainland China that requires attention, modeling to describe and predict its prevalence patterns can help the government to develop more scientific interventions.
Zhende Wang, Yongbin Wang, Shengkui Zhang, Suzhen Wang, Zhen Xu, ZiJian Feng   +5 more
doaj   +1 more source

MODEL PERAMALAN SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) DAN PENERAPANNYA [PDF]

, 2009
Seasonal Autoregressive Integrated Moving Average (SARIMA) merupakan pengembangan dari model Autoregressive Integrated Moving Average (ARIMA) padadata runtun waktu yang memiliki pola musiman.
Niken, Anggrayni
core