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Using jackknife in nonlinear models - confidence regions for a function of the structural parameter
Author:
J
rg Polzehl a
rg Polzehl a
| Affiliation: | a Sektion Mathematik, Humboldt-Universitat Berlin, DDR, Berlin |
DOI:
10.1080/02331888508801836
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
PDF
(English)
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Abstract
A method of constructing jackknife confidence regions for a function of the structural parameter of a nonlinear model is investigated. The method is available for nonlinear regression models as well as for models with errors in the variables. Properties are discussed in comparison with traditional methods. This is supported by a simulation study.
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| Keywords: Nonlinear regression; error in the variables models; jackknife; confidence intervals |
| view references (14) |
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