A decision theoretic approach to a distribution–free compound classification problem

DOI10.1080/03610928608829284zbMath0635.62056OpenAlexW2178702975MaRDI QIDQ3774744

Dennis G. Haack, Zakkula Govindarajulu

Publication date: 1986

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

Full work available at URL: https://doi.org/10.1080/03610928608829284

zbMATH Keywords

classificationsimulationasymptotic efficienciesassumption of normalityasymptotic risk equal to zerodistribution-free decision rule

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian problems; characterization of Bayes procedures (62C10) Nonparametric inference (62G99) Compound decision problems in statistical decision theory (62C25)

Related Items (1)

Classification with multiple independent measurements under a separate sampling scheme

Cites Work

• Certain nonparametric classification rules and their asymptotic efficiencies
• A fast procedure for generating normal random variables
• Minimax Risk and Unbiasedness for Multiple Decision Problems of Type I

This page was built for publication: A decision theoretic approach to a distribution–free compound classification problem