Sökning: "Hierarchical Forecasting"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Hierarchical Forecasting.

  1. 1. Segmenting Countries in the Food Packaging Market: A Cluster Analysis Approach

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Ninda Atikah Mawaddah; Aksaraphak Nijsathorn; [2023]
    Nyckelord :Unsupervised Machine Learning; Clustering; K-Means Clustering; Hierarchical Clustering; Principal Component Analysis; Business and Economics;

    Sammanfattning : The food packaging market has been witnessing substantial growth due to changing consumer lifestyles, urbanization, increased purchasing power, and growing environmental sustainability awareness. This growth presents significant opportunities for companies operating in this market. LÄS MER

  3. 2. After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening

    Master-uppsats, Lunds universitet/Produktionsekonomi

    Författare :Artur Jusopov; Arian Marofkhani; [2022]
    Nyckelord :Forecasting; Intermittent Demand; Spare Parts; After-Market; Crostons; Exponential Smoothing; Hierarchical Forecasting; Technology and Engineering;

    Sammanfattning : Title: After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening. Authors: Arian Marofkhani and Artur Jusopov Supervisors: Professor Gudrun Kiesmüller, Lund University, Faculty of Engineering, Division of Production Management. Macarena Ribalta, Planning & Logistics Manager, Sandvik Stationary Crushing & Screening. LÄS MER

  4. 3. Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Adam Eidenvall; [2021]
    Nyckelord :Hierarchical Clustering; Asset Allocation; Portfolio Construction; Graph Theory; Machine Learning; Risk Parity; Regime Shift; Bootstrapping; Walk Forward; Mathematics and Statistics;

    Sammanfattning : Many agree that estimating portfolio risks has better estimation possibilities, than estimations on returns. Therefore investors attempts to construct better, more efficient riskmanaged portfolios by diversifying portfolios through factors rather than traditional asset classes. LÄS MER

  5. 4. Forecasting with deep temporal hierarchies : A novel way for forecasting with temporal hierarchies based on deep learning models

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Filotas Theodosiou; [2021]
    Nyckelord :Forecasting; temporal hierarchies; forecast reconciliation; hierarchical forecasting; machine learning; deep learning;

    Sammanfattning : Temporal hierarchies are being increasingly used for forecasting purposes over the past years. They have been shown to produce accurate and coherent forecasts which are beneficial for enterprises. Reconciling forecasts of different aggregation levels to achieve coherence, supports aligned decisions between different organizational levels. LÄS MER

  7. 5. Hierarchical sales forecasting using Recurrent Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shiva Besharat Pour; [2020]
    Nyckelord :;

    Sammanfattning : Sales forecasting equips businesses with the essential basis for planning future investments, controlling costs, and production. This research is in cooperation with a property development company for the purpose of improving the accuracy of manual sales forecasting. LÄS MER