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Biometrika 1979 66(3):659-662; doi:10.1093/biomet/66.3.659
© 1979 by Biometrika Trust
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Miscellanea

Likelihood inference for a simple growth model

DAVID V. HINKLEY

School of Statistics, University of Minnesota St Paul

Large sample methods of likelihood inference are examined for a simple growth model. Attention focuses on the use of the amount of information actually delivered by an experiment.

Key Words: Ancillary statistic • Binary trial • Confidence limit • Growth • Information • Likelihood • Maximum likelihood estimate • Pivotal • Stopping rule


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