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Multinomial Ordinal Response Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F13%3A43885466" target="_blank" >RIV/60076658:12510/13:43885466 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multinomial Ordinal Response Models

  • Original language description

    For managing of credit risk in banks, it is fundamental to decide to which customer a loan or service will be offered and to which one it will not. The banks use many methods modeling and forecasting risk?application scorecards, probability of default etc. Inside these methods mainly binary models and logistic regression as technique are applied. The article intends to shortly illustrate and describe extension of these models on situations where response (dependent) variable has more than two categories. The binary models (or dichotomous, i.e. models in which dependent variable has just two categories) are not the only ones, it is possible to use models in which dependent variable has more than two categories?multinomial models. There are two main groups of such models: with ordered (ordinal) categories and non-ordered (nominal) categories of the dependent variable.The article describes representatives from both groups, but focus on ordinal models, which are likely to be used in the fi

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    31st International Conference on Mathematical Methods in Economics 2013

  • ISBN

    978-80-87035-76-4

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    386-392

  • Publisher name

    Vysoká škola polytechnická Jihlava

  • Place of publication

    Jihlava

  • Event location

    Jihlava

  • Event date

    Sep 11, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article