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A paradox: more measurement error can lead to more efficient estimates

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Publication:4269922
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DOI10.1080/03610929708832006zbMath0954.62525OpenAlexW1970444153MaRDI QIDQ4269922

Donna Spiegelman, Eugene Demidenko

Publication date: 10 November 1999

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

Full work available at URL: https://doi.org/10.1080/03610929708832006


zbMATH Keywords

information matrixmaximum likelihoodlogistic regressionerrors-in-variablesBerkson model


Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12)


Related Items (2)

Design of experiments in the presence of errors in factor levels ⋮ Can efficiency be gained by correcting for misclassification?


Uses Software

  • goodwin.f77


Cites Work

  • goodwin.f77
  • [https://portal.mardi4nfdi.de/wiki/Publication:3204019 The Evaluation of Integrals of the Form � +∞ -∞ f(t)exp(- t 2 ) dt: Application to Logistic-Normal Models]


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