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
β¦ LIBER β¦
Correction: The Kernel Estimate of a Regression Function in Likelihood Based Models
β Scribed by J. G. Staniswalis
- Book ID
- 125249483
- Publisher
- American Statistical Association
- Year
- 1990
- Tongue
- English
- Weight
- 149 KB
- Volume
- 85
- Category
- Article
- ISSN
- 0162-1459
- DOI
- 10.2307/2289640
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