Results 141 to 150 of about 72,436 (339)

Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model. [PDF]

Cureus, 2023
Ab Rashid MA, Ahmad Zaki R, Wan Mahiyuddin WR, Yahya A.   +3 more
europepmc   +1 more source

Forecasting exchange rates in Sri Lanka: a comparison of the double seasonal autoregressive integrated moving average models (DSARIMA) and SARIMA models

, 2022
B. R. P. M. Basnayake, N. V. Chandrasekara   +1 more
openalex   +2 more sources

Modelando a sazonalidade e o processo gerador da série de tempo do emprego rural no estado de São Paulo [PDF]

This paper used the X-12 method, seasonal unit root and Autoregressive Integrated Moving Average Model to identify and to model the generator process of rural employment in the state of São Paulo in the period from January 1996 to December 2006.
Fredo, Carlos Eduardo, Margarido, Mario Antonio   +1 more
core   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, EarlyView.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Forecasting OPEC Crude Oil Price Using Fuzzy Autoregressive Integrated Moving Average (FARIMA) Model [PDF]

Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2013
Crude oil prices are influenced by many factors. Inclusion of all these determinants in a single model is complex and inefficient. In this case, using time series approach might be appropriate.
mansoor zara nejad, poyan kiani, salah ebrahimi, ali raoofi   +3 more
doaj  

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model. [PDF]

PLoS One, 2023
Costa EM, Magalhães Rodrigues ES, de Sousa FS, Pimentel FB, Sodré Lopes MB, Vissoci JRN, Thomaz EBAF.   +6 more
europepmc   +1 more source

Modelling event-related oscillations by autoregressive integrated moving average

, 2004
Öz bulunamadı.
Erzengin, OU, Sumbuloglu, V, Karakas, S
openaire   +2 more sources

A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction

Journal of Forecasting, EarlyView.
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha, Xianyi Zeng, Arne Johannssen, Ruolin Wang, Kim Phuc Tran   +4 more
wiley   +1 more source

Prediction of women and Children's hospital outpatient numbers based on the autoregressive integrated moving average model. [PDF]

Heliyon, 2023
Lin Y, Wan C, Li S, Xie S, Gan Y, Lu Y.
europepmc   +1 more source

A Comparative Study of CO2 Emission Forecasting in the Gulf Countries Using Autoregressive Integrated Moving Average, Artificial Neural Network, and Holt-Winters Exponential Smoothing Models [PDF]

, 2021
Teg Alam, Ali AlArjani
openalex   +1 more source