✦ LIBER ✦

A Note on Estimation in Hilbertian Linear Models

✍ Scribed by Hörmann, Siegfried; Kidziński, Łukasz

Book ID: 121824748
Publisher: John Wiley and Sons
Year: 2014
Tongue: English
Weight: 257 KB
Volume: 42
Category: Article
ISSN: 0303-6898
DOI: 10.1111/sjos.12094

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A note on L-estimates for linear models

✍ Roger Koenker 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 117 KB

A note on min—maxbias estimators in appr

A note on min—maxbias estimators in approximately linear models

✍ Gilbert W. Bassett Jr. 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 145 KB

A note on linear heteroscedasticity mode

A note on linear heteroscedasticity models

✍ Joel Hasbrouck 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 193 KB

A note on best linear unbiased estimatio

A note on best linear unbiased estimation in the restricted general linear model

✍ Mathew, Thomas 📂 Article 📅 1983 🏛 Informa UK (Taylor & Francis) ⚖ 180 KB

On restricted estimation in linear model

On restricted estimation in linear models

✍ Warren T. Dent 📂 Article 📅 1980 🏛 Elsevier Science 🌐 English ⚖ 489 KB

Linear estimation in models based on a g

Linear estimation in models based on a graph

✍ R.B. Bapat 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 94 KB

Two natural linear models associated with a graph are considered. The Gauss± Markov theorem is used in one of the models to derive a combinatorial formula for the Moore±Penrose inverse of the incidence matrix of a tree. An inequality involving the Moore±Penrose inverse of the Laplacian matrix of a g