Results 81 to 90 of about 73,625 (339)
Forecasting air quality index data with autoregressive integrated moving average models
Air pollution arises from several sources, encompassing industrial, transportation, and home activities, and carries significant implica- tions for environmental health. High population mobility in a place, such as Jakarta, might exacerbate air pollution.
Arie Vatresia +4 more
doaj +1 more source
Rice farming for Indonesia is vital. Rice farming is inseparable from the fact that rice farming is the livelihood of most of the population, while rice is the staple food of almost all Indonesians. The nature of rice that is easy to process and, following the public consumption culture, causes a very high dependence on rice.
Bekti Endar Susilowati +3 more
openaire +2 more sources
MODEL PERAMALAN SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) DAN PENERAPANNYA [PDF]
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
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
Modeling CPUE series for the fishery along northeast coast of India: A comparison between the Holt- Winters, ARIMA and NNAR models [PDF]
Mathematical as well as statistical models not only help in understanding the dynamics of fish populations but also enables in short-term predictions on abundance.
Kuriakose, Somy +2 more
core
Return and Volatility Spillovers Among Major Cotton Markets
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Predicting Rice Production using Autoregressive Integrated Moving Average Model
A study was conducted on time-series data on rice production in India. Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) time-series process was considered for predicting country's rice production using the time series data from 1950–51 to 2017–18. Data from 1950–51 to 2014–15 were used for model development and three years data from 2015–16
R C BHARATI, ANIL KUMAR SINGH
openaire +1 more source
Forecasting Price Relationships among U.S Tree Nuts Prices [PDF]
This paper investigates a vector auto regression model, using the Johansen cointegration technique, and the autoregressive integrated moving average time series models to determine the better model for forecasting US tree nut prices over the period 1992 ...
Florkowski, Wojciech J. +1 more
core +1 more source
ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
Prognosis Of BLDC Drive Faults Using Autoregressive Integrated Moving Average Algorithm
Abstract Generally, Brushless DC (BLDC) machines attract many industrialists due to their unique characteristics like better output, stabilized performance, and high torque to current ratio. BLDC drive has a long life, and they do not need maintenance; however, the drive has low starting torque and high cost.
K. V. S. H. Gayatri Sarman +2 more
openaire +2 more sources

