Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Author:
Philip Buczak
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
British Journal of Mathematical and Statistical Psychology
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
ReMoDe – Recursive modality detection in distributions of ordinal data
by: Madlen Hoffstadt, et al.
Published: (2026)
Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method
by: Sebastian Castro‐Alvarez, et al.
Published: (2024)
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs
by: Steffen Zitzmann, et al.
Published: (2025)
A new Q‐matrix validation method based on signal detection theory
by: Jia Li, et al.
Published: (2024)
Correction to “A new Q‐matrix validation method based on signal detection theory”
Published: (2025)
