Correction of nonlinear orthogonal regression estimator
β Scribed by I. Fazekas; A. Kukush; S. Zwanzig
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Weight
- 215 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0041-5995
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π SIMILAR VOLUMES
In this paper we derive general formulae for second-order biases of maximum-likelihood estimates in a class of symmetric nonlinear regression models. This class of models is commonly used for the analysis of data containing extreme or outlying observations in samples from a supposedly normal distrib
## Abstract We outline a procedure that resolves ambiguities in fitting nonlinear data by power series. As is well known, the coefficients in the regression equations depend upon the truncation of the power series. We outline the procedure in which the coefficients of the regression using a power e