The weak convergence of least squares random fields and its application (Q1819513)

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scientific article; zbMATH DE number 3992717
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The weak convergence of least squares random fields and its application
scientific article; zbMATH DE number 3992717

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    The weak convergence of least squares random fields and its application (English)
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    1986
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    The author consider the usual nonlinear regression model. The main part of the paper concerns the weak convergence of the least squares random field associated with the sequence of least squares criteria for increasing sample size. Using results from earlier papers the asymptotic normality of least squares estimators of the k-dimensional parameter follows.
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    weak convergence
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    least squares random field
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    least squares criteria
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    asymptotic normality
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