Median estimator in logistic regression model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210407" target="_blank" >RIV/68407700:21340/13:00210407 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Median estimator in logistic regression model
Original language description
Nowadays, generalized linear models are widespread for statistical data processing. Logistic regression model belongs to this class of models. This model is one of the basic models used for binary data. A demand for accurate and reliable estimates of theparameters of these models is increasing. MLE (Maximum Likelihood Estimates) are used in practice. They are known to be efficient. Unfortunately, outliers can occur in some data sets, which have an effect on estimation of model parameters. Median estimator of parameters and its generalization appear to be more robust for larger sample size and higher level of contamination. In this work, MLE, Median estimator and generalized Median estimator are compared on generated data. As a conclusion, a comparisonbetween them is shown.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SPMS 2013 Stochastic and Physical Monitoring Systems Proceedings
ISBN
978-80-01-05383-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
83-88
Publisher name
ČVUT
Place of publication
Praha
Event location
Nebřich
Event date
Jun 24, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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