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Algorithms for robust nonlinear regression with heteroscedastic errors

✍ Scribed by László Tóthfalusi; László Endrényi


Book ID
107769819
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
653 KB
Volume
42
Category
Article
ISSN
0020-7101

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Efficient estimates in linear and nonlin
✍ Anton Schick 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 675 KB

In this paper we consider the heteroscedastic regression model defined by the structural relation Y = r(V, [:t)+ s(W)c, where V is a p-dimensional random vector, W is a q-dimensional random vector, fi is an unknown vector in some open subset ~ of N", t-is a known function from R p × .~ into R, s is