TEST FOR TREATMENT EFFECT BASED ON BINARY DATA WITH RANDOM SAMPLE SIZES

DOI10.1111/J.1467-842X.1990.TB00999.XzbMath0707.62043OpenAlexW2068919514MaRDI QIDQ3489055

Shein-Chung Chow, Jun Shao

Publication date: 1990

Published in: Australian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.1990.tb00999.x

zbMATH Keywords

likelihood ratio teststreatment effectsbinary datauniformly most powerful unbiased testsrandom sample sizes

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03)

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Comparing two means in count models having random effects -- a UMPU test ⋮ Mixed-effects models with random cluster sizes

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