Double sampling for exact values in the normal discriminant model with application to binary regression

DOI10.1080/03610929008830459zbMath0728.62057OpenAlexW2060332662MaRDI QIDQ3352301

John P. Buonaccorsi

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1080/03610929008830459

zbMATH Keywords

relative riskmeasurement errormissing databinary regressionlogistic regression modelcost constraintsMaximum likelihood estimatorsdouble sampling schemeOptimal allocationstwo group normal discriminant model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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Cites Work

• Designing a logistic regression study using surrogate measures for exposure and outcome
• Errors-in-variables with systematic biases
• Maximum likelihood estimation for mixed continuous and categorical data with missing values
• A new method for estimating subgroup means under misclassification
• The asymptotic relative efficiency of score tests in a generalized linear model with surrogate covariates
• The Effect of Errors in Diagnosis and Measurement on the Estimation of the Probability of an Event
• Inference about means from incomplete multivariate data
• Unnamed Item

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