Sökning: "ARIMA"
Visar resultat 6 - 10 av 162 uppsatser innehållade ordet ARIMA.
6. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm
Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. LÄS MER
7. Nu stannar vi på marken : En kvantitativ studie om flygskattens effekt på inrikes flyg- och tågpassagerare
Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : Den 1 april 2018 infördes en flygskatt för kommersiella flygresor per passagerare i Sverige. Enligt SOU 2016:83 var intentionen med flygskatten att minska miljöpåverkan som flygindustrin bidrar med. Syftet med denna uppsats är att undersöka hur implementeringen av den svenska flygskatten har påverkat antalet inrikes flyg- och tågresenärer. LÄS MER
8. SAX meets Word2vec : A new paradigm in the time series forecasting
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : 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
9. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. LÄS MER
10. Exchange Rate Analysis Between the U.S. Dollar and the Japanese Yen
Kandidat-uppsats, Uppsala universitet/Statistik, AI och data scienceSammanfattning : The exchange data between the U.S. Dollar and Japanese Yen are analyzed with three models called the Auto-Regressive Integrated Moving- Average (ARIMA) model, the Generalized Auto-Regressive Conditional Heteroscedastic (GARCH) model, and the Fractional Differencing model. LÄS MER