A5064340262- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- Energy Load and Power Forecasting
- Advanced Statistical Process Monitoring
- Neural Networks and Applications
- Supply Chain and Inventory Management
- Innovation Diffusion and Forecasting
- Time Series Analysis and Forecasting
- Advanced Statistical Methods and Models
- Financial Risk and Volatility Modeling
- Decision-Making and Behavioral Economics
- Monetary Policy and Economic Impact
- Consumer Market Behavior and Pricing
- Market Dynamics and Volatility
- Big Data and Business Intelligence
- Atmospheric and Environmental Gas Dynamics
- Insurance, Mortality, Demography, Risk Management
- Complex Systems and Decision Making
- Climate variability and models
- Diverse Aspects of Tourism Research
- Grey System Theory Applications
- Economic and Environmental Valuation
- Complex Systems and Time Series Analysis
- Educational Games and Gamification
- Digital Marketing and Social Media
University of Skövde
2019-2024
Lancaster University
2011-2020
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We provide an overview wide range theoretical, state-of-the-art models, methods, principles,...
Abstract In this paper, we explored how judgment can be used to improve the selection of a forecasting model. We compared performance judgmental model against standard algorithm based on information criteria. also examined efficacy model‐build approach, in which experts were asked decide existence structural components (trend and seasonality) time series instead directly selecting from choice set. Our behavioral study data almost 700 participants, including practitioners. The results our...
Demand forecasting is central to decision making and operations in organisations. As the volume of forecasts increases, for example due an increased product customisation that leads more SKUs being traded, or a reduction length cycle, there pressing need reliable automated forecasting. Conventionally, companies rely on statistical baseline forecast captures only past demand patterns, which subsequently adjusted by human experts incorporate additional information such as promotions. Although...