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Modelling and Forecasting of Covid-19 Using Periodical ARIMA Models
Corona virus (Covid-19) is a great danger for whole world. World health organization (WHO) considered it an epidemic. Data collection was based on...
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Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA
Several researchers have used standard time series models to analyze future patterns of COVID-19 and the Causal impact of vaccinations in various...
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Research on Cement Price Fluctuation Prediction Based on EEMD-ARIMA
In this paper, we analyze cement price fluctuations and predict cement price. Taking the daily price data of ordinary silicate 42.5R (bulk) cement in...
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Forecast of Foreign Direct Investment of India Through ARIMA Under COVID-19 Pandemic
COVID-19 has already affected millions of lives across the globe, and most of the industries and businesses are closed. This pandemic has badly hit...
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Research on the Prediction of Shenzhen Growth Enterprise Market Price Index Based on EMD-ARIMA Model
Under the background of mass entrepreneurship and innovation, it is of great practical and theoretical significance to predict the Shenzhen Growth...
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Spillover and leverage effect in Smart Beta Exchange Traded Funds: Evidence from India
This study is unique in examining the spillover and leverage effect of Smart Beta Exchange Traded Funds (SB ETFs) and their underlying indices and...
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Forecasting methods in Greek coastal ship**: The case of Southwest Crete
The aim of this paper is to exact the most effective model at capturing the seasonal and short-term components of passenger traffic in Southwest...
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Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series
In this paper, an intervention analysis approach was applied to daily cases of COVID-19 in Nigeria in order to evaluate the utilization and effect of...
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Time Series Forecasting
The topic of this chapter is time series predictive modeling. Methods presented include ARIMA (autoregressive integrated moving average) models, and...
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An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
Refugee and migrant (mixed migration) flows in the Mediterranean have been in the spotlight of both policy and research, especially since 2015. Mixed...
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A Basic Time Series Forecasting Course with Python
The aim of this paper is to present a set of Python-based tools to develop forecasts using time series data sets. The material is based on a 4-week...
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Nigerian COVID-19 Incidence Modeling and Forecasting with Univariate Time Series Model
The occurrence of COVID-19 has given rise to dreadful medical difficulties due to its hyper-endemic effects on the human population. This made it...
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Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet
Cash flow prediction is important. It can help increase returns and improve the allocation of capital in healthy, mature firms as well as prevent...
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Time Series Analysis and Forecast of COVID-19 Pandemic
Background: The coronavirus has killed over 80 million individuals globally. Thus, the linear regression and autoregressive integrated moving...
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The role of forecasting in preventing supply chain disruptions during the COVID-19 pandemic: a distributor-retailer perspective
Strengthen the resilience of supply chains was observed to be critical issue by firms to confront disruptions triggered by unprecedented demand and...
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A Smart Industrial Electrical Energy Analytics and Forecasting System
The rise of digital smart energy meters with advanced industrial communication protocols has availed opportunities to easily harvest utility energy...
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A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centers
Data centers are a crucial part of many organizations in the world today consisting of expensive assets that store and process critical business data...
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Demand Management
In this chapter, we explore demand management for effective supply chain management. First, we introduce the concept and the SPSS (sense, predict,...
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Effect of COVID-19 on Stock Price: A Time Series-Based Analysis of FMCG and Consumer Durables Sector in India
In recent time, Indian stock market (ISM) has been confronted with the effect of COVID-19. Since the last week of March 2020, the country was under...
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Can We Apply Traditional Forecasting Models to Predicting Bitcoin?
As cryptocurrency becomes more accepted as a valid investment tool within financial markets, and as more financial instruments move on to a...