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Fitting a normal distribution when the model is wrong
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UNSPECIFIED (1997) Fitting a normal distribution when the model is wrong. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 49 (4). pp. 601-614. ISSN 0020-3157
Full text not available from this repository.Abstract
The paper discusses a likelihood based method of estimation which allows for a small amount of misspecification in the assumption of normality. Asymptotic results suggest that the new method can give an estimated model which is closer to the true model. An application to hearing threshold data is discussed.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Journal or Publication Title: | ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS |
| Publisher: | KLUWER ACADEMIC PUBL |
| ISSN: | 0020-3157 |
| Date: | December 1997 |
| Volume: | 49 |
| Number: | 4 |
| Number of Pages: | 14 |
| Page Range: | pp. 601-614 |
| Publication Status: | Published |
| URI: | http://wrap.warwick.ac.uk/id/eprint/16068 |
Data sourced from Thomson Reuters' Web of Knowledge
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