Statistical validation of classification and calibration models using bootstrapped Latin partitions-Reference-Cited by-同舟云学术

Statistical validation of classification and calibration models using bootstrapped Latin partitions

Published:2006-12 Issue:11 Volume:25 Page:1112-1124
ISSN:0165-9936
Container-title:TrAC Trends in Analytical Chemistry
language:en
Short-container-title:TrAC Trends in Analytical Chemistry

Author:

de Boves Harrington Peter

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference31 articles.

1. Megavariate data analysis of mass spectrometric proteomics data using latent variable projection method

2. W.S. Sarle, What are cross-validation and bootstrapping?, 1997, (http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-12.html, accessed October 2006).

3. The shrinkage of the coefficient of multiple correlation.

4. NOTES ON BIAS IN ESTIMATION

Cited by 98 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning–Driven SERS Nanoendoscopy and Optophysiology;Annual Review of Analytical Chemistry;2024-07-17

2. Assessment of artificial intelligence to detect gasoline in fire debris using HS‐SPME‐GC/MS and transfer learning;Journal of Forensic Sciences;2024-05-26

3. Intelligent framework for cannabis classification using visualization of gas chromatography/mass spectrometry data and transfer learning;Frontiers in Analytical Science;2023-04-17

4. Characterizing Variances of Adulterated Extra Virgin Olive Oils by UV-Vis Spectroscopy Combined with Analysis of Variance-Projected Difference Resolution (ANOVA-PDR) and Multivariate Classification;Applied Sciences;2023-03-29

5. Supervised discretization for decluttering classification models;The Analyst;2023