Sökning: "Forecast comparison"

Visar resultat 1 - 5 av 133 uppsatser innehållade orden Forecast comparison.

  1. 1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Abid Ali; Arosha Ratnayake; [2023-07-03]
    Nyckelord :Demand forecasting; Spare parts; Automobile; End-of-Production EOP ; PRISMA; AHP; MCDM;

    Sammanfattning : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). LÄS MER

  2. 2. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER

  3. 3. Quality assessment of private weather station Netatmo

    Kandidat-uppsats, Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen

    Författare :Viktor Israelsson; [2023]
    Nyckelord :netatmo; meteorology; smhi; weatherstation; Physics and Astronomy;

    Sammanfattning : 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

  4. 4. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Adam Ahlman; Adam Taylor; [2023]
    Nyckelord :Time Series; Forecasting;

    Sammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER

  5. 5. Macro-based Adjustment Factors for Valuations in Venture Capital

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Tomás Pinto; [2023]
    Nyckelord :Valuation; Start-ups; VCM; Multiples Approach; Business and Economics;

    Sammanfattning : This paper focuses on creating macro-based adjustment factors which can be applied to the valuation of start-up companies. Since start-up companies are private, market valuations are limited to events such as funding rounds or M&A transactions, which happen only at discrete points in time. LÄS MER