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Author(s):
Gu, Jingjing 
Title:
Forecasting Electricity Prices Using Artificial Neural Networks 
Abstract:
This thesis has the intent to give an overview about the statistical methods and techniques, which can be used to describe and characterize univariate return distributions statistically, i.e. to summarize a lot of information of the distribution in one number. For example, what is the average of the observated values? How much do the observated values vary from the average? How does the assumed distribution may look like? For that, measures of the shape, i.e. measures of central tendency, of sta...    »
 
Keywords:
Measure of central tendency, measure of statistical dispersion, skewness, kur- tosis, parametric distribution models, Maximum-Likelihood-Method, Tests for normality, Shapiro-Wilk-Test 
Supervisor:
Prof. Dr. Gunther Friedl 
Advisor:
Merlind Weber 
Referee:
Prof. Dr. Rudi Zagst 
Year:
2014 
University:
Technische Universität München 
End of processing:
11.04.2014