Forecasting accuracy

This study proposes an alternative approach based on the deep learning paradigm working in a complementary way with conventional methods such as the finite element method for quickly forecasting the responses of structures under random wind loads with reasonable accuracy.

11p vifaye 20-09-2024 3 1   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 11 4   Download

The aim of this thesis is: To examine and evaluate commercial property market forecast theory and models used in forecasting market performance; to define and analyse downside risk exposure and strategies to manage risks in a real estate environment; to test the accuracy of commercial property market and economic forecasts and to determine whether they capture downside risks; to analyse and discuss the relationship between property forecast errors and economic forecast errors; to explore the current state of the australian commercial property market forecasting practice and its exposure to ...

403p runthenight04 02-02-2023 9 4   Download

This dissertation is composed of two parts, an integrative essay and a set of published papers. The essay and the collection of papers are placed in the context of development and application of time series econometric models in a temporal-axis from 1970s through 2005, with particular focus in the Marketing discipline. The main aim of the integrative essay is on modelling the effects of marketing actions on performance variables, such as sales and market share in competitive markets.

7p runthenight04 02-02-2023 5 1   Download

Thesis with the aim of focusing on two main issues. The first is time series modeling by states in which each state is a deterministic probability distribution (normal distribution). Based on the experimental results to assess the suitability of the model. Second, combine Markov chains and fuzzy time series into new models to improve forecast accuracy. Expand the model with high-level Markov chains to be compatible with seasonal data.

27p xacxuoc4321 11-07-2019 35 2   Download

This research suggests that executives with IT experience are more likely to utilize IT because they perceive it as easy to use. Overall, I find that CEOs with IT expertise make forecasts that are more accurate. In additional tests, I also find that CEOs with IT expertise do not manage earnings to maintain accuracy. Finally, I find that analysts are more likely to rely on information provided by CEOs with IT expertise.

92p fugu897 03-07-2019 31 4   Download