Profiled Estimation for Nonlinear Systems

Ramsay, James; Hooker, Giles

doi:10.1007/978-1-4939-7190-9_10

James Ramsay⁸ &
Giles Hooker⁹

Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

We have seen in the last chapter that linear differential equations can provide nice answers for a wide variety of problems, in the same way that multiple linear regression is the workhorse of applied statistics.

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Authors and Affiliations

Department of Psychology, McGill University, 2748 Howe St., Ottawa, ON, K2B6W9, Canada
James Ramsay
Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, USA
Giles Hooker

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James Ramsay
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Giles Hooker
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Correspondence to James Ramsay .

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Ramsay, J., Hooker, G. (2017). Profiled Estimation for Nonlinear Systems. In: Dynamic Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7190-9_10

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DOI: https://doi.org/10.1007/978-1-4939-7190-9_10
Published: 28 June 2017
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-7188-6
Online ISBN: 978-1-4939-7190-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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