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
The difference of model robustness assessment using cross‐validation and bootstrap methods
The difference of model robustness assessment using cross‐validation and bootstrap methods
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Rita Lasfar
,
Gergely Tóth
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Journal of Chemometrics
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
Internet
https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3530
Similar Items
Being Aware of Data Leakage and Cross‐Validation Scaling in Chemometric Model Validation
by: Péter Király, et al.
Published: (2025)
Generating realistic infrared spectra using artificial neural networks
by: László Győry, et al.
Published: (2024)
Implications of confounding from unmodeled interactions between explanatory variables when using latent variable regression models to make inferences
by: Olav M. Kvalheim, et al.
Published: (2024)
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry
by: Alejandro C. Olivieri
Published: (2024)
Developing multifruit global near‐infrared model to predict dry matter based on just‐in‐time modeling
by: Puneet Mishra
Published: (2024)