Estimation of The Mean of A Univariate Normal Distribution When The Variance is Not Known  

Oleh:

Danilov, Dmitry

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Econometrics Journal vol. 8 no. 3 (2005), page 277-291.
Topik: REGRESSION; regression; pretest; laplace estimator
Fulltext: 277.pdf (202.32KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE39.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

We consider the problem of estimating the first k coefficients in a regression equation with k + 1 variables. For this problem with known variance of innovations, the neutral Laplace weighted - average least - squares estimator was introduced in Magnus (2002). We generalize this estimator to the case where the unknown variance is estimated by least squares and find that main properties of the Laplace estimator only change marginally. Therefore we recommend the neutral Laplace estimator to be used in practice.

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