Results 81 to 90 of about 2,441 (205)
On the Efficacy of ARFIMA, ARTFIMA, and MARFIMA Models in Forecasting Nigerian Crude Oil Prices
This study presents a comprehensive evaluation of three advanced long-memory time series models— the Autoregressive Fractionally Integrated Moving Average (ARFIMA), the Autoregressive Tempered Fractionally Integrated Moving Average (ARTFIMA), and the ...
Musa Tasi’u +3 more
doaj +1 more source
O presente trabalho tem como objetivo modelar séries temporais para efeito de previsão com diferenciações inteira e fracionária, utilizando dados de preços futuros de commodities agrícolas.
Ricardo Chaves Lima +2 more
doaj +1 more source
Model Hybrid ARFIMA-ANN untuk Mengatasi Heteroskedastisitas dan Nonlinieritas dalam Residu Model ARFIMA pada Peramalan Harga Perak Berjangka [PDF]
Perak memiliki volatilitas harga yang tinggi sehingga menimbulkan tantangan dalam melakukan peramalan harga pada pasar berjangka. Penelitian ini mengusulkan penggunaan model hybrid ARFIMA–ANN untuk meningkatkan akurasi peramalan dengan mengatasi ...
Elvira, Nia Dwi
core
Identificación de los modelos ARFIMA
Since the introduction of ARFIMA models for fractionally integrated time series with long memory, there has been great interest in the study of their properties and application areas.
Castaño Velez, Elkin
core +1 more source
Autoregression-Based Estimators for ARFIMA Models [PDF]
Nous décrivons une méthode d'estimation pour les paramètres des modèles ARFIMA stationnaires ou non-stationnaires, basée sur l'approximation auto-régressive.
Galbraith, John, Zinde-Walsh, Victoria
core +1 more source
This study establishes the efficiency of the maintenance workforce in a process plant, utilising combined models, including artificial neural networks (ANN)-weighted aggregated sum product assessment (WASPAS) and ANN-fuzzy inference system (FIS)-WASPAS.
Sunday Ayoola Oke +1 more
doaj
The thesis deal with long-memory processes which are defined by several ways. The main concern is dedicated to ARFIMA model, to its basic properties and its application.
Vdovičenko, Martin
core
Forecasting UNTR Weekly Stock Price using ARFIMA
Predicting stock prices plays a pivotal role in the decision-making processes of organizations and individual investors. This research focuses on the predicting weekly closing stock prices, specifically for UNTR, using the ARFIMA method.
Gabriella Maria Singgih +1 more
core +1 more source
İŞSİZLİKTE UZUN HAFIZA ETKİSİ VE HİSTERİSİZ HİPOTEZİNİN GEÇERLİLİĞİ
Ekonomilerin temel iktisadigöstergelerinden biri olan işsizlik gerek teorik gerekse ampirik literatüraçısından makro iktisadın güncel konuları arasında yer almaktadır.
İpek Yurttagüler, Sinem Kutlu
doaj
FORECASTING FRESH WATER AND MARINE FISH PRODUCTION IN MALAYSIA USING ARIMA AND ARFIMA MODELS
Malaysia is surrounded by sea, rivers and lakes which provide natural sources of fish for human consumption. Hence, fish is one source of protein supply to the country and fishery is a sub-sector that contribute to the national gross domestic product ...
P.J.W. Mah, N.N.M. Zali, N.A.M. Ihwal, N.Z. Azizan
doaj +1 more source

