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Least Squares Estimation via Plug-In

Paola Gloria Ferrario ()

Chapter Chapter 2 in Local Variance Estimation for Uncensored and Censored Observations, 2013, pp 19-29 from Springer

Abstract: Abstract Under i.i.d. random vectors (X, Y), (X 1, Y 1), (X 2, Y 2), … in the regression analysis one is interested in the value of the so called response variable Y (in $$\mathbb{R}$$ ) depending on the value of the observation vector X (in $${{\mathbb{R}}^{d}}$$ , with distribution μ).

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-02314-0_2

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DOI: 10.1007/978-3-658-02314-0_2

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