On the monotone likelihood ratio property for the convolution of independent binomial random variables

DOI10.1016/j.dam.2009.03.002zbMath1211.60007OpenAlexW2068650333MaRDI QIDQ967297

Dennis M. jun. Healy, Andrey Rukhin, Carey E. Priebe

Publication date: 28 April 2010

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.dam.2009.03.002

zbMATH Keywords

monotone likelihood ratiouniformly most powerful testconvolution of binomials

Mathematics Subject Classification ID

Probability distributions: general theory (60E05)

Cites Work

• A new proof for monotone likelihood ratio for the sum of independent Bernoulli random variables
• Two-group classification in latent trait theory: Scores with monotone likelihood ratio
• A Convolutive Class of Monotone Likelihood Ratio Families

This page was built for publication: On the monotone likelihood ratio property for the convolution of independent binomial random variables