๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Bayesian analysis in random coefficient m-group regression

โœ Scribed by William G. Fortney; Robert B. Miller


Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
474 KB
Volume
5
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Prediction in Random Coefficient Regress
โœ Dr. Jan Bondeson ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 781 KB

Much attention has been given to the problem ofpredicting future obeervatiomfor some individual within a random coefficient regreasion (RCR) model, using the previous observations on that individual aa well es the information from the re& of the data material. In thia paper, the literature on this s

Grouped random effects models for Bayesi
โœ Daniel T. Larose; Dipak K. Dey ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 142 KB ๐Ÿ‘ 3 views

Meta-analysis refers to quantitative methods to combine results from independent studies so as to draw overall conclusions. Frequently, results from dissimilar studies are inappropriately combined, resulting in suspect inferential synthesis. We present a straightforward method to identify and addres

Leverage in Bayesian Regression
โœ Bert M. Steece ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 425 KB

Using the concept of an extended data set (ZIELLNEB, 1986). we derived the projection or hat matrix for Bayeaien regreasion analysis. The hat matrix shows how much influence or leverage the observed responses and the prior means bave on each of the posterior fitted values. The amount of leverage ess