Results 121 to 130 of about 412,561 (324)

ARIMA-M: A New Model for Daily Water Consumption Prediction Based on the Autoregressive Integrated Moving Average Model and the Markov Chain Error Correction

open access: yesWater, 2020
Water resource is considered as a significant factor in the development of regional environment and society. Water consumption prediction can provide an important decision basis for the regional water supply scheduling optimizations.
Hongyan Du, Zhihua Zhao, H. Xue
semanticscholar   +1 more source

Flood Magnitude Prediction Model using Autoregressive and Integrated Moving Average

open access: yes, 2021
Disaster is imminent and humans have to learn to manage it. Flood is one of the most common natural disasters in Nigeria with adequate negative impact on people, properties and farmlands. Flooding tends to occur during heavy down pour (rainfall) when water absorption is low. The extent of flood is proportional to the negative impact that is experienced
Adannaya Simeon Ivo   +4 more
openaire   +2 more sources

A characterization of ARMA and Fractional ARIMA models with infinitely divisible innovations [PDF]

open access: yesarXiv, 2007
The object of this paper is to study the asymptotic dependence structure of the linear time series models with infinitely divisible innovations by the use of their characteristic functions. Autoregressive moving-average (ARMA) models and fractional autoregressive integrated moving-average (FARIMA) models are analyzed.
arxiv  

Testing for threshold regulation in presence of measurement error with an application to the PPP hypothesis [PDF]

open access: yesarXiv, 2020
Regulation is an important feature characterising many dynamical phenomena and can be tested within the threshold autoregressive setting, with the null hypothesis being a global non-stationary process. Nonetheless, this setting is debatable since data are often corrupted by measurement errors.
arxiv  

A fractionally integrated autoregressive moving average approach to forecasting tourism demand

open access: yesTourism Management, 2008
The primary aim of this paper is to incorporate fractionally integrated ARMA (p, d, q) (ARFIMA) models into tourism forecasting, and to compare the accuracy of forecasts with those obtained by previous studies. The models are estimated using the volume of monthly international tourist arrivals in Singapore.
openaire   +2 more sources

Future Pathways for Net Zero Emission: Analyzing the Nexus of Entrepreneurship and Ecological Sustainability Development in Developed Economies

open access: yesBusiness Strategy and the Environment, EarlyView.
Abstract This study aims to investigate the impact of entrepreneurship and green investments on environmental sustainability within the scope of Sustainable Development Goals for developed economies. The study conducts an in‐depth analysis from 2001 to 2022 and reveals the possible effects of increases and decreases in entrepreneurship.
Mehmet Levent Erdas   +3 more
wiley   +1 more source

Examining the Financial Impact of Biodiversity‐Related Reputational Disasters

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This research investigates the reaction of financial markets to biodiversity‐related corporate events, utilising an EGARCH model to assess the implications on stock returns and volatility. Results reveal that markets significantly respond to these events, demonstrating heightened sensitivity and volatility that underscore the financial ...
Erdinc Akyildirim, Shaen Corbet
wiley   +1 more source

PENERAPAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA PERAMALAN PRODUKSI KEDELAI DI SUMATERA UTARA

open access: yesJurnal Agrica, 2017
Kajian ini bertujuan untuk meramalkan produksi kedelai di Sumatera Utara tahun 2016-2019.  Metode yang digunakan dalam penelitian ini adalah Metode Autoregressive Integrated Moving Average (ARIMA).
Rita Herawaty Br Bangun
doaj   +1 more source

Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA [PDF]

open access: yesarXiv, 2019
Traffic flow forecasting is hot spot research of intelligent traffic system construction. The existing traffic flow prediction methods have problems such as poor stability, high data requirements, or poor adaptability. In this paper, we define the traffic data time singularity ratio in the dropout module and propose a combination prediction method ...
arxiv  

Treatment patterns, outcomes and healthcare resource utilization of obstructive hypertrophic cardiomyopathy in England

open access: yesESC Heart Failure, EarlyView.
Abstract Aims Describe patient characteristics, treatment patterns, clinical outcomes, healthcare resource utilization (HCRU) and medical costs associated with patients who were diagnosed with obstructive hypertrophic cardiomyopathy (HCM) in clinical practice in England.
Faizel Osman   +9 more
wiley   +1 more source

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