Application of Logistic Regression Clustering in Bank's Propensity Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F19%3A00054617" target="_blank" >RIV/61384399:31140/19:00054617 - isvavai.cz</a>
Result on the web
<a href="https://msed.vse.cz/msed_2019/article/73-Sirota-Sergej-paper.pdf" target="_blank" >https://msed.vse.cz/msed_2019/article/73-Sirota-Sergej-paper.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18267/pr.2019.los.186.137" target="_blank" >10.18267/pr.2019.los.186.137</a>
Alternative languages
Result language
angličtina
Original language name
Application of Logistic Regression Clustering in Bank's Propensity Models
Original language description
Main topics of the document: regression clustering; logistic regression; propensity model; Bayesian information criterion; integrated complete-data likelihood criterion
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Days of Statistics and Economics (MSED2019)
ISBN
978-80-87990-18-6
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1370-1379
Publisher name
Libuše Macáková, Melandrium
Place of publication
Slaný
Event location
Praha
Event date
Sep 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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