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Document type:
Masterarbeit 
Author(s):
Michel, Daniel 
Title:
Non-linear statistical models for incomplete data 
Abstract:
This thesis considers the estimation of missing values in incomplete data. First, we will theoretically derive the maximum likelihood estimator for missing values of multivariate normally distributed data with known distribution parameters. In the second step, we propose a two step estimation procedure when parameters of the normal distribution are unknown and give an outline of the estimation procedure in a general case, i.e. for not necessarily normally distributed data. Further, a Monte Carlo...    »
 
Supervisor:
PD Dr. Aleseky Min 
Advisor:
PD Dr. Aleseky Min 
Year:
2016 
Language:
de 
Language from translation:
de 
University:
Technische Universität München 
Faculty:
Fakultät für Mathematik 
End of processing:
31.03.2016