Sökning: "sarima"

Visar resultat 1 - 5 av 43 uppsatser innehållade ordet sarima.

1. 1. SAX meets Word2vec : A new paradigm in the time series forecasting

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Erik Janerdal; David Dimovski; [2023]
   Nyckelord :Contextual Time Series; Forecasting; ARIMA; SARIMA; Word2vec; SAX;

   Sammanfattning : The purpose of this thesis was to investigate whether some successful ideas in NLP, such as word2vec, are applicable to time series prob- lems or not. More specifically, we are interested to assess a combina- tion of previously proven methods such as SAX and Word2vec. LÄS MER

3. 2. Forecasting the Temperatures of theWinter 2022/2023 using SARIMA Models

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Georg Holmén; Felix Bemark; [2023]
   Nyckelord :;

   Sammanfattning : In this paper the possibility and accuracy of forecasting weekly temperatures for one season,the winter of 2022/2023 is explored. By comparing the forecasted values with normal temper-atures a prediction of the severity of the coming winter can be attained. LÄS MER

4. 3. Forecasting Monthly Swedish Air Traveler Volumes

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Mark Becker; Peter Jarvis; [2023]
   Nyckelord :Forecasting; SARIMA; Neural network autoregression; Exponential smoothing; the Prophet model; Random Walk; MAE; MAPE; RMSE;

   Sammanfattning : In this paper we conduct an out-of-sample forecasting exercise for monthly Swedish air traveler volumes. The models considered are multiplicative seasonal ARIMA, Neural network autoregression, Exponential smoothing, the Prophet model and a Random Walk as a benchmark model. LÄS MER

5. 4. Short-term forecasting Swedish annual real GDP growth using SARIMA models : A study in forecasting current year Swedish annual real GDP growth using SARIMA models with the Box-Jenkins methodology as a general framework

   Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionen

   Författare :Mark Becker; [2023]
   Nyckelord :SARIMA; ARIMA; ARMA; Box-Jenkins; Real GDP; MAE;

   Sammanfattning : Simulated current year annual real GDP growth forecasts for 2015-2021 are made using a chosen SARIMA model, with the Box-Jenkins methodology as a general modelling framework. The forecasts are compared to the actual outcomes and the Absolute Errors (AE) and the Mean Absolute Errors (MAE) are calculated for each year. LÄS MER

7. 5. Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Marcus Lindell; Casper Schwerin; [2023]
   Nyckelord :AI; Machine Learning; Time series analysis; Modeling; Sick absence; Forecasting; Macro factors; Stochastic processes; Mathematics and Statistics; Technology and Engineering;

   Sammanfattning : Sick absence affects companies both operationally and economically and the matter has become increasingly prominent following the COVID-19 pandemic. MedHelp Care is an e-health company working towards increasing workplace wellness by offering insights into absence and rehabilitation matters. LÄS MER