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Advanced Search Results For "BOX-Jenkins forecasting"

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 "BOX-Jenkins forecasting"
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Do words affect expectations? The effect of central banks communication on consumer inflation expectations.

Publication Type: Academic Journal

Source(s): Quarterly Review of Economics & Finance. Nov2022, Vol. 86, p221-229. 9p.

Abstract: In this paper, we sought to investigate the effect of communication by central banks on consumer inflation expectations. To this end, we ran investigations into six European economies that, between 2010 and mid-2019, implemented inflation targeting: th...

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Evaluation performance of time series methods in demand forecasting: Box-Jenkins vs artificial neural network (Case study: Automotive Parts industry).

Publication Type: Academic Journal

Source(s): Journal of Statistical Computation & Simulation. Nov2022, Vol. 92 Issue 17, p3639-3658. 20p.

Abstract: Production planning is a vital activity for manufacturing companies in managing any kind of organizational operations. One of the most important and vital tools that are considered necessary in production planning is forecasting future production deman...

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Where should we go? Internet searches and tourist arrivals.

Publication Type: Academic Journal

Source(s): International Journal of Finance & Economics. Oct2022, Vol. 27 Issue 4, p4048-4057. 10p.

Abstract: The widespread availability of internet search data is a new source of high‐frequency information that can potentially improve the precision of macroeconomic forecasting, especially in areas with data constraints. This paper investigates whether travel...

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Making the hospital smart: using a deep long short-term memory model to predict hospital performance metrics.

Publication Type: Academic Journal

Source(s): Industrial Management & Data Systems. 2022, Vol. 122 Issue 10, p2151-2174. 24p.

Abstract: Purpose: Abundant studies of outpatient visits apply traditional recurrent neural network (RNN) approaches; more recent methods, such as the deep long short-term memory (DLSTM) model, have yet to be implemented in efforts to forecast key hospital data....

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Forecasting future trends in crude oil production in India by using Box-Jenkins ARIMA.

Publication Type: Conference

Source(s): AIP Conference Proceedings. 11/8/2022, Vol. 2481 Issue 1, p1-10. 10p.

Abstract: The objective of this article is to forecast India's crude oil output patterns in the future. Specifically, this article examines whether data on crude oil output in India may be modified to ARIMA models for the purpose of estimate and forecasting. Thi...

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A New Mortality Framework to Identify Trends and Structural Changes in Mortality Improvement and Its Application in Forecasting.

Publication Type: Academic Journal

Source(s): Risks. Aug2022, Vol. 10 Issue 8, p161-161. 38p.

Abstract: We construct a new age-specific mortality framework and implement an exemplar (DLGC) that provides an excellent fit to data from various countries and across long time periods while also providing accurate mortality forecasts by projecting parameters w...

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Прогнозирование инвестиций в основной капитал

Publication Type: Academic Journal

Source(s): Vestnik Universiteta. 2022, Issue 7, p145-154. 10p.

Abstract: В статье детализированы вопросы прогнозирования инвестиций в основной капитал. Рассмотрены теоретические аспекты (зарубежный опыт) использования различных форм прогнозных моделей на основе анализа иностранной научной литературы. Практически реализованы...

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ANN–polynomial–Fourier series modeling and Monte Carlo forecasting of tourism data.

Publication Type: Academic Journal

Source(s): Journal of Forecasting. Aug2022, Vol. 41 Issue 5, p920-932. 13p.

Abstract: Modeling and forecasting of tourism data have received attention in the past decades. Turkey is one of the countries that benefit significantly from the tourism industry. Several time‐series models have been recommended to best describe tourist arrival...

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Multimedia services placement algorithm for cloud–fog hierarchical environments.

Publication Type: Academic Journal

Source(s): Computer Communications. Jul2022, Vol. 191, p78-91. 14p.

Abstract: With the rapid development of mobile communication, multimedia services have experienced explosive growth in the last few years. The high quantity of mobile users, both consuming and producing these services to and from the Cloud Computing (CC), can ou...

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Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy.

Publication Type: Academic Journal

Source(s): Renewable Energy: An International Journal. Nov2022, Vol. 200, p69-87. 19p.

Abstract: Forecasting renewable energy is essential for achieving a sustainable energy future. This study aimed to develop a hybrid deep-learning-based model for forecasting renewable electricity supply in a case study of South Korea in order to assist national-...

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