Microorganisms, 2020 Since mid-November 2019, when the first SARS-CoV-2-infected patient was officially reported, the new coronavirus has affected over 10 million people from which half a million died during this short period. There is an urgent need to monitor, predict, and
Ovidiu-Dumitru Ilie +5 more
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FORECASTING EXCHANGE RATE VOLATILITY IN INDIA UNDER UNIVARIATE AND MULTIVARIATE ANALYSIS
Buletin Ekonomi Moneter dan Perbankan, 2023 This paper addresses the issue of variation in the exchange rate of the Indian Rupee (IR) against the US Dollar (USD) under a flexible exchange rate regime using monthly data spanning January 2005 to December 2020.
Sushil Rai, Akhilesh Sharma
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Association between moral distress and job satisfaction of Japanese psychiatric nurses
Asian/Pacific Island Nursing Journal, 2016 Moral distress of psychiatric nurses may affect their job satisfaction or quality of nursing care, thus examination of their moral distress is a significant issue for practice.
Michiyo Ando, Masashi Kawano
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Modeling of GRACE-Derived Groundwater Information in the Colorado River Basin [PDF]
, 2019 Groundwater depletion has been one of the major challenges in recent years. Analysis of groundwater levels can be beneficial for groundwater management.
Ahmad, Sajjad +3 more
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The relationship between ARIMA-GARCH and unobserved component models with GARCH disturbances [PDF]
, 2007 The objective of this paper is to analyze the consequences of fitting ARIMA-GARCH models to series generated by conditionally heteroscedastic unobserved component models.
Espasa, Antoni +2 more
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Elektronika ir Elektrotechnika, 2022 The development of smart metering technology empowers power reforms, which allows effective implementation of demand response programs to effectively operate the power grid.
Priya Lakshmanan, Venugopal Gomathi B
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Stock Price Predictions with LSTM-ARIMA Hybrid Model under Neutrosophic Treesoft sets with MCDM interaction [PDF]
Neutrosophic Sets and SystemsThe stock market is regarded as volatile, complex, tumultuous, and dynamic. Forecasting stock performance has proven to be a challenging endeavour due to its increasing need for investment and growth prospects.
Florentin Smarandache +2 more
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Prediction model of the number of street voluntary blood donors
Zhongguo shuxue zazhi, 2022 Objective To explore the relationship between climate factors and the number of street voluntary blood donors in Beijing and develop a reliable predictive model, so as to provide reference for donor recruitment. Methods The data of weather and the number
Qiyong BI, Zhili WANG, Xiao CHEN
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Comparative Analysis of ARIMA, SARIMAX, and Random Forest Models for Forecasting Future GDP of the UK in Relation to Unemployment Rate [PDF]
International Journal of Management, Accounting and Economics, 2023 Accurate forecasting of Gross Domestic Product (GDP) is crucial for policymakers, businesses, and investors. This research explores the use of SARIMAX, ARIMA, and Random Forest models to forecast GDP in the UK.
Md Hossain
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Monthly precipitation prediction in Luoyang city based on EEMD-LSTM-ARIMA model
Water Science and Technology, 2023 At present, the method of using coupled models to model different frequency subseries of precipitation series separately for prediction is still lacking in the research of precipitation prediction, thus in this paper, a coupled model based on Ensemble ...
Jiwei Zhao, Guangzheng Nie, Yihao Wen
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