A methodology for quantifying the effect of missing data on decision quality in classification problems

DOI10.1080/03610926.2016.1277752OpenAlexW2576972144MaRDI QIDQ5160203

No author found.

Publication date: 28 October 2021

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://www.zora.uzh.ch/id/eprint/132901/1/Problems.pdf

zbMATH Keywords

completenessdata qualitylinear discriminant analysis (LDA)model qualitydecision quality

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) General considerations in statistical decision theory (62C05) Missing data (62D10)

Uses Software

• JStatCom
• PRTools

Cites Work

• Modeling Information Manufacturing Systems to Determine Information Product Quality
• Inference and missing data
• Classification, Parameter Estimation and State Estimation
• Unnamed Item
• Unnamed Item

This page was built for publication: A methodology for quantifying the effect of missing data on decision quality in classification problems