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    Geometric view of measurement errors

    Citation

    O’Driscoll, D. and Ramirez, D.E. (2011) ‘Geometric view of measurement errors’ in Communication in Statistics – Simulation and Computation, Taylor and Francis, 40 (9), 1373-1382.
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    O’Driscoll, D. and Ramirez, D.E. (2011) ‘Geometric View of Measurement Errors(Journal Article)(Pre Printed Version).pdf (133.7Kb)
    Date
    2011
    Author
    O'Driscoll, Diarmuid
    Ramirez, Donald E.
    Peer Reviewed
    Yes
    Metadata
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    O’Driscoll, D. and Ramirez, D.E. (2011) ‘Geometric view of measurement errors’ in Communication in Statistics – Simulation and Computation, Taylor and Francis, 40 (9), 1373-1382.
    Abstract
    The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of a polynomial of degree four. This geometric view of measurement errors is used to give insight into the performance of various slope estimators for the measurement error model including an adjusted fourth moment estimator introduced by Gillard and Iles (2005) to remove the jump discontinuity in the estimator of Copas (1972). The polynomial of degree four is associated with a minimun deviation estimator. A simulation study compares these estimators showing improvement in bias and mean squared error.
    Keywords
    Oblique errors
    Measurement errors
    Maximum likelihood estimation
    Moment estimation
    Language (ISO 639-3)
    eng
    Publisher
    Taylor and Francis
    Rights
    Copyright © Communication in Statistics – Simulation and Computation, Taylor and Francis, The full journal publication can be found athttp://www.tandfonline.com/toc/lssp20/40/9
    URI
    http://hdl.handle.net/10395/1858
    Collections
    • Mathematics and Computer Studies (Peer-reviewed publications)

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