✦ LIBER ✦

Proper Bayes minimax estimators of the normal mean matrix with common unknown variances

✍ Scribed by Hisayuki Tsukuma

Book ID: 108193444
Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 242 KB
Volume: 140
Category: Article
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2010.03.031

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Proper bayes minimax estimators for a mu

Proper bayes minimax estimators for a multivariate normal mean with unknown common variance under a convex loss function

✍ Pi-Erh Lin; Amany Mousa 📂 Article 📅 1982 🏛 Springer Japan 🌐 English ⚖ 667 KB

Empirical Bayes minimax estimators of ma

Empirical Bayes minimax estimators of matrix normal means

✍ Malay Ghosh; Gwowen Shieh 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 654 KB

Admissibility and minimaxity of Bayes es

Admissibility and minimaxity of Bayes estimators for a normal mean matrix

✍ Hisayuki Tsukuma 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 613 KB

Minimax and admissible minimax estimator

Minimax and admissible minimax estimators of the mean of a multivariate normal distribution for unknown covariance matrix

✍ Khursheed Alam 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 497 KB

Gamma-minimax estimators for the mean of

Gamma-minimax estimators for the mean of a multivariate normal distribution with partially unknown covariance matrix

✍ Lanxing Chen; Jürgen Lehn 📂 Article 📅 1995 🏛 Institute of Applied Mathematics, Chinese Academy 🌐 English ⚖ 321 KB

Maximum Likelihood Estimation of Isotoni

Maximum Likelihood Estimation of Isotonic Normal Means with Unknown Variances

✍ Ning-Zhong Shi; Hua Jiang 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 200 KB

To analyze the isotonic regression problem for normal means, it is usual to assume that all variances are known or unknown but equal. This paper then studies this problem in the case that there are no conditions imposed on the variances. Suppose that we have data drawn from k independent normal popu