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On least squares estimation with a particular linear function of the dependent variable

✍ Scribed by Peter Stahlecker; Karsten Schmidt


Book ID
116100334
Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
384 KB
Volume
23
Category
Article
ISSN
0165-1765

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The derivation of the asymptotic normality LSE's under univariate non-linear regression models is presented based on the weak convergence of the natural random ΓΏeld generated by the sum of squared residuals. Some examples, showing that neglecting the condition of uniform convergence leads to serious