Sökning: "Seasonal Forecasting"

Visar resultat 21 - 25 av 63 uppsatser innehållade orden Seasonal Forecasting.

1. 21. Predicting the Amount of Professional Matches for Three Different Esports : A time series analysis

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Christopher Englesson; Ludvig Karlin; [2021]
   Nyckelord :Naïve; ARIMA; Neural Networks; seasonality; forecasting; esports.;

   Sammanfattning : In this paper, we will look at the compatibility of different forecasting methods applied to  time series data in esports, specifically three esports, League of Legends, Counter Strike:Global Offensive and Defence of the Ancients 2. The purpose of the study is to assess whether forecasting the amount of professional esport matches for the first three months of 2021 is possible and if so, how accurately. LÄS MER

3. 22. Business analytics tools for data collection and analysis of COVID-19

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Härje Widing; [2021]
   Nyckelord :COVID-19; SARS-CoV-2; Pandemic; Business Intelligence; Seasonal Artificial Neural Network; Generalized Autoregressive Conditional Heteroscedasticity; Power BI;

   Sammanfattning : The pandemic that struck the entire world 2020 caused by the SARS-CoV-2 (COVID-19) virus, will have an enormous interest for statistical and economical analytics for a long time. While the pandemic of 2020 is not the first that struck the entire world, it is the first pandemic in history where the data were gathered to this extent. LÄS MER

4. 23. Machine LearningMethods for Forecasting Product Demand: A case study with telecommunications software

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Meghan Byars; [2021]
   Nyckelord :demand forecasting; machine learning; time series forecasting; random forest; SARIMA;

   Sammanfattning : There is a lack of evidence pointing to an optimal method for demand forecasting. This paper joins the collection of studies that forecast demand using a combination of machine learning methods. LÄS MER

5. 24. Improving on Inventory Management Using Time Series Forecasting

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Edvin Arvidsson; [2021]
   Nyckelord :Time series forecasting; consumption rates; fbprophet; ARIMA; LSTM;

   Sammanfattning : In this master thesis project, four well known time series forecasting models areconstructed and tuned with the purpose of predicting the future consumption of glueon one of AkzoNobels customers production lines. The goal was to examine thepossibility of utilizing their vastly collected data with these models to improve on theinventory management for both AkzoNobel and their customers. LÄS MER

7. 25. Comparison of Forecasting Models Used by The Swedish Social Insurance Agency.

   Magister-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

   Författare :Ryan Rasoul; [2020]
   Nyckelord :Financial engineering; Forecast; Time series; ARIMA; SES; Analysis and forecasting;

   Sammanfattning : We will compare two different forecasting models with the forecasting model that was used in March 2014 by The Swedish Social Insurance Agency ("Försäkringskassan" in Swedish or "FK") in this degree project. The models are used for forecasting the number of cases. LÄS MER