Estimation Of The Mean Of A Univariate Normal Distribution With Known Variance  

Oleh:

Magnus, Jan R.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Econometrics Journal vol. 5 no. 1 (2002), page 225-236.
Topik: Pretest; Laplace distribution; Regret; Neutral prior.
Fulltext: 225.pdf (121.13KB)

Isi artikel

We consider the estimation of the unknown mean  of a univariate normal distribution N(, 1) given a single observation x.We wish to obtain an estimator which is admissible and has good risk (and regret) properties.We first argue that the ‘usual’ estimator t (x) = x is not necessarily suitable. Next, we show that the traditional pretest estimator of the mean has many undesirable properties. Thus motivated, we suggest the Laplace estimator, based on a ‘neutral’ prior for , and obtain its properties. Finally, we compare the Laplace estimator with a large class of (inadmissible) estimators and show that the risk properties of the Laplace estimator are close to those of the minimax regret estimator from this large class. Thus, the Laplace estimator has good risk (regret) properties as well. Questions of admissibility, risk and regret are reviewed in the appendix.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali