Sökning: "forecast precision"
Visar resultat 1 - 5 av 45 uppsatser innehållade orden forecast precision.
1. Quality assessment of private weather station Netatmo
Kandidat-uppsats, Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenSammanfattning : Netatmo is a brand of private weather stations that over the past decade, in many countries, have grown to outnumber the number of government based weather stations. In most fields of research, a high number of data points can increase accuracy and precision. LÄS MER
2. Estimation of Parabolic Microwave Antenna Movements Using Sensor Fusion
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Wireless communication has seamlessly integrated itself into our daily lives, with Ericsson pioneering the development of comprehensive mobile ecosystems. As the demand for data traffic continues to surge, the enhancement of both cellular radio systems and backhaul infrastructure remains paramount. LÄS MER
3. Portfolio Risk Modelling in Venture Debt
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. LÄS MER
4. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER
5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER