Sökning: "General linear model"

Visar resultat 1 - 5 av 245 uppsatser innehållade orden General linear model.

  1. 1. Hur påverkas svenskhushållskonsumtion av olikabindningstider på bolån vidstyrränteförändringar?

    Kandidat-uppsats, Karlstads universitet/Handelshögskolan (from 2013)

    Författare :Martin Wejdenmark; Alireza Rasooli; [2024]
    Nyckelord :Mortgage term; household consumption; disposable income; policy rate; inflation; Räntebindningstid; hushållskonsumtion; disponibel inkomst; styrränta; inflation;

    Sammanfattning : In Sweden variable-rate mortgages are relatively common. Furthermore, householdindebtedness is high in relation to other nations within the European Union. Therefore,monetary policy has a stronger effect on the economy due to the household sensitivityregarding interest rates. LÄS MER

  3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  4. 3. Time Series Forecasting on Database Storage

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Pranav Patel; [2024]
    Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

  5. 4. The place of space mining news in the valuation of stocks

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Albin Landers; [2023]
    Nyckelord :Space mining; Stock markets; Spinoff technologies; Market reaction; Abnormal return;

    Sammanfattning : Background. Space mining is a subject of growing interest. People see where society is heading and that something needs to be done to pave the way for future generations. Outer space contains both the Moon and other celestial bodies as well. LÄS MER

  7. 5. Maximizing the Value of Large-Scale Solar PV Parks through Battery Storage and Ancillary Services : An analysis using multiple-integer linear programming optimization

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Byggteknik och byggd miljö

    Författare :Nora Ekström; [2023]
    Nyckelord :Solar PV park; BESS; ancillary service; linear programming optimization;

    Sammanfattning : Renewable power production is becoming a necessity to improve society and overcome the challenges of climate change. In Sweden, large-scale solar PV power is growing year-on-year and today comprises 1 percent of electricity production. LÄS MER