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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 1 to 5 of 5 (0.08 seconds)

Spelling suggestions: "subject:"340401 conomic codels anda forecasting"" "subject:"340401 conomic codels anda forecasting's""

1

Machine learning in the capital market: rule extraction from cross-industry and computer software & services industry initial public offerings in the US Stock Market using support vector machines, artificial neural networks, Bayesian classificiation, decision tree and rule learning techniques

Mitsdorffer, R. Unknown Date (has links)
No description available.
340401 Economic Models and Forecasting
2

Machine learning in the capital market: rule extraction from cross-industry and computer software & services industry initial public offerings in the US Stock Market using support vector machines, artificial neural networks, Bayesian classificiation, decision tree and rule learning techniques

Mitsdorffer, R. Unknown Date (has links)
No description available.
340401 Economic Models and Forecasting
3

Machine learning in the capital market: rule extraction from cross-industry and computer software & services industry initial public offerings in the US Stock Market using support vector machines, artificial neural networks, Bayesian classificiation, decision tree and rule learning techniques

Mitsdorffer, R. Unknown Date (has links)
No description available.
340401 Economic Models and Forecasting
4

Mathematical models for temperature and electricity demand

Magnano, Luciana January 2007 (has links)
This thesis presents models that describe the behaviour of electricity demand and ambient temperature. Important features of both variables are described by mathematical components. These models were developed to calculate the value of electricity demand that is not expected to be exceeded more than once in ten years and to generate synthetic sequences that can be used as input data in simulation software. / PhD Doctorate
230204 Applied Statistics
340403 Time-Series Analysis
340401 Economic Models and Forecasting
electricity demand
ambient temperature
temperature
mathematical model
5

Modelling short-term interest rates and electricity spot prices

Chan, K. F. Unknown Date (has links)
No description available.
230201 Probability Theory
230202 Stochastic Analysis and Modelling
340401 Economic Models and Forecasting
340403 Time-Series Analysis
350302 Financial Econometrics
660300 Energy Storage and Distribution
710401 Finance and investment services

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