Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Journal of Classification
Published in: Journal of Classification 1/2018

Open Access 26-03-2018

A Multivariate Logistic Distance Model for the Analysis of Multiple Binary Responses

Authors: Hailemichael M. Worku, Mark de Rooij

Published in: Journal of Classification | Issue 1/2018

Read the PDF-Version of this Article.

loading …
previous article Extended Box Clustering for Classification Problems
next article The Lack of Cross-Validation Can Lead to Inflated Results and Spurious Conclusions: A Re-Analysis of the MacArthur Violence Risk Assessment Study
download
DOWNLOAD
print
PRINT
Metadata
Title
A Multivariate Logistic Distance Model for the Analysis of Multiple Binary Responses
Authors
Hailemichael M. Worku
Mark de Rooij
Publication date
26-03-2018
Publisher
Springer US
Published in
Journal of Classification / Issue 1/2018
Print ISSN: 0176-4268
Electronic ISSN: 1432-1343
DOI
https://doi.org/10.1007/s00357-018-9251-4

Other articles of this Issue 1/2018

Journal of Classification 1/2018 Go to the issue

OriginalPaper

The Lack of Cross-Validation Can Lead to Inflated Results and Spurious Conclusions: A Re-Analysis of the MacArthur Violence Risk Assessment Study

OriginalPaper

Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research

OriginalPaper

Two-Stage Metropolis-Hastings for Tall Data

EditorialNotes

Editorial

OriginalPaper

Extended Box Clustering for Classification Problems

OriginalPaper

A New Support Vector Machine Plus with Pinball Loss

Premium Partner

    Image Credits