SIEVE ESTIMATION OF CONSTANT AND TIME-VARYING COEFFICIENTS IN NONLINEAR ORDINARY DIFFERENTIAL EQUATI...
SIEVE ESTIMATION OF CONSTANT AND TIME-VARYING COEFFICIENTS IN NONLINEAR ORDINARY DIFFERENTIAL EQUATION MODELS BY CONSIDERING BOTH NUMERICAL ERROR AND MEASUREMENT ERROR
About this item
Full title
Author / Creator
Xue, Hongqi , Miac, Hongyu and Wu, Hulin
Publisher
Cleveland, OH: Institute of Mathematical Statistics
Journal title
Language
English
Formats
Publication information
Publisher
Cleveland, OH: Institute of Mathematical Statistics
Subjects
More information
Scope and Contents
Contents
This article considers estimation of constant and time-varying coefficients in nonlinear ordinary differential equation (ODE) models where analytic closed-form solutions are not available. The numerical solution-based nonlinear least squares (NLS) estimator is investigated in this study. A numerical algorithm such as the Runge-Kutta method is used...
Alternative Titles
Full title
SIEVE ESTIMATION OF CONSTANT AND TIME-VARYING COEFFICIENTS IN NONLINEAR ORDINARY DIFFERENTIAL EQUATION MODELS BY CONSIDERING BOTH NUMERICAL ERROR AND MEASUREMENT ERROR
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2995285
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2995285
Other Identifiers
ISSN
0090-5364
E-ISSN
2168-8966
DOI
10.1214/09-aos784
