User: Guest  Login
Less Searchfields
Simple search
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
 BibTeX