Sökning: "SARIMA"

Visar resultat 16 - 20 av 43 uppsatser innehållade ordet SARIMA.

1. 16. Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Anton Falk; Daniel Holmgren; [2021]
   Nyckelord :machine learning; statistical learning; statistics; random forest; xgboost; sarima; stacking; support vector regression; svr; linear regression; sales; sales forcasting; forecasting; time series;

   Sammanfattning : Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to gain critical insights and enhance growth. LÄS MER

3. 17. Forecasting Volume of Sales During the Abnormal Time Period of COVID-19. An Investigation on How to Forecast, Where the Classical ARIMA Family of Models Fail

   Master-uppsats, KTH/Matematisk statistik

   Författare :Christina Ghawi; [2021]
   Nyckelord :Time series forecasting; ARIMA family of models; abnormal time period; extreme events; COVID-19 pandemic; time series outliers;

   Sammanfattning : During the COVID-19 pandemic, customer shopping habits have changed. Some industries experienced an abrupt shift during the pandemic outbreak while others navigate in new normal states. For some merchants, the highly-uncertain new phenomena of COVID-19 expresses as outliers in time series of volume of sales. LÄS MER

4. 18. 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

5. 19. Time series prediction of web traffic data

   Magister-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Nils Dominguez Berndtsson; [2021]
   Nyckelord :Time series predictions; Temporal Convolutional Network; SARIMA; Web traffic; Cybersecurity; Mathematics and Statistics;

   Sammanfattning : In this thesis we predict web traffic intensity levels for 7 customers of a cybersecurity company. The models we predict with are a SARIMA model and a Temporal convolutional network. The quality of the predictions vary a lot between the different customers. The predictions improve when performed on data that is logged, demeaned and differenced. LÄS MER

7. 20. 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