๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Prediction interval estimation in transformed linear models

โœ Scribed by Kwanho Cho; In-Kwon Yeo; Richard A. Johnson; Wei-Yin Loh

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
91 KB
Volume
51
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Estimation in partially linear models
Estimation in partially linear models
โœ R.L. Eubank; E.L. Kambour; J.T. Kim; K. Klipple; C.S. Reese; M. Schimek ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 361 KB

Order n algorithms are developed for computing the estimated mean vector, regression coefficients, standard errors and smoothing parameter selection criteria for Speckman smoothing spline estimators in partially linear models. A difference type variance estimator is proposed and shown to be x/-~-con

Bayesian predictive simultaneous variabl
Bayesian predictive simultaneous variable and transformation selection in the linear model
โœ Jennifer A. Hoeting; Joseph G. Ibrahim ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 996 KB

Variable selection and transformation selection are two commonly encountered problems in the linear model. It is often of interest to combine these two procedures in an analysis. Due to recent developments in computing technology, such a procedure is now feasible. In this paper, we propose two varia