Measurement Error

John P. Buonaccorsi and Aurore Delaigle
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John P. Buonaccorsi: University of Massachusetts
Aurore Delaigle: University of Melbourne

Chapter Chapter 1 in The Work of Raymond J. Carroll, 2014, pp 1-154 from Springer

Abstract: Abstract It is both a privilege and a challenge to summarize Ray Carroll’s contributions in measurement error. Ray literally wrote the book on the topic with coauthors David Ruppert, Len Stefanski, and Ciprian Crainiceanu (Carroll et al., 2006), and his fingerprints are present in a huge amount of published research on measurement error over the past 30 years. In addition to the book, Ray has authored or coauthored close to 100 papers involving measurement error alone, addressing a vast array of problems. His work covers models from the fairly simple to the very complex with an emphasis ranging from the relatively applied to the highly theoretical. Our detailed discussion of Ray’s work concentrates heavily on the twelve papers appearing in this volume, although this only scratches the surface of his contributions. We first discuss parametric models ([MEM-1]-[MEM-4] and [MEM-7]-[MEM-9]), then turn to non-parametric and semi-parametric models including deconvolution problems ([MEM-5],[MEM-6],[MEM-10]-[MEM-11]).

Keywords: Measurement Error; Statistical Theory; Huge Amount; Vast Array; Deconvolution Problem (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-05801-6_1

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DOI: 10.1007/978-3-319-05801-6_1

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