Essays about: "prognostisering"

Showing result 21 - 25 of 75 essays containing the word prognostisering.

  1. 21. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE

  3. 22. High Frequency Demand Forecasting : The Case of a Swedish Pharmacy Retailer

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Aban Saleem; [2022]
    Keywords : Retail; Forecast; Pharmacy; SARIMA; Holt-Winter’s method; Facebook Prophet; high-frequency; Retail; Prognos; Pharmacy; SARIMA; Holt-Winter’s metod; Face- book Prophet; hög frekvens;

    Abstract : Predicting future sales can bring many advantages to retailers with regards to organizational performance. Using big data to make accurate forecasts can enable retailer to improve their operational performance and profitability substantially by reducing lost sales, inventory levels and labor costs. READ MORE

  4. 23. Modeling Organic Installs in a Free-to-Play Game

    University essay from KTH/Matematisk statistik

    Author : Maxime Prudhomme; [2022]
    Keywords : Organic installs; Forecast; Linear Regression; Prophet; Time-Series Analysis; Organiska nedladdningar; förutspå; linjär regression; Prophet; tidsserieanalys;

    Abstract : The Free-To-Play industry relies on getting a huge inflow of new players that might result in future gross bookings. Consequently, getting organic new players is crucial to ensure its health, especially as they have no direct associated acquisition cost. READ MORE

  5. 24. Prediction of the future trend of e-commerce

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Freja Engström; Disa Nilsson Rojas; [2021]
    Keywords : ARIMA; demographics; electronic commerce; ecommerce; machine learning; market analysis; polynomial regression; segmentation; support vector regression.;

    Abstract : In recent years more companies have invested in electronic commerce as a result of more customers using the internet as a tool for shopping. However, the basics of marketing still apply to online stores, and thus companies need to conduct market analyses of customers and the online market to be able to successfully target customers online. READ MORE

  6. 25. Evaluating deep learning models for electricity spot price forecasting

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mia Zdybek; [2021]
    Keywords : Time series forecasting; Electricity price forecasting; Machine Learning; Deep learning; Multi-layer perceptron; Long short-term memory; Convolutional neural network; Tidsserieprediktion; Prognostisering av elspotpriser; Maskininlärning; Djupinlärning; Flerskikts-perceptron; Lågt korttidsminne; Neurala faltningsnät;

    Abstract : Electricity spot prices are difficult to predict since they depend on different unstable and erratic parameters, and also due to the fact that electricity is a commodity that cannot be stored efficiently. This results in a volatile, highly fluctuating behavior of the prices, with many peaks. READ MORE