๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The small sample properties of R2 in a misspecified regression model with stochastic regressors

โœ Scribed by Gaminie Meepagala


Book ID
116101509
Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
361 KB
Volume
40
Category
Article
ISSN
0165-1765

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Small Sample Properties of the Likelihoo
โœ Dr. K. Brรคnnรคs; J. Pohjanpalo ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 418 KB ๐Ÿ‘ 2 views

The paper deeh with the effects of incorrectly omitted regreesor variables in a parametric proportional hazard regremion model. By studying condition8 for equality between the eetirnetorn of oorrect end incorrect models i t is demonstrated analytically that euoh canes are not to be expected in pract

Proxy and Instrumental Variable Methods
โœ R.N. Bhattacharya; D.K. Bhattacharyya ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 435 KB

Suppose \(Y\) has a linear regression on \(X_{1}, X_{2}\), but observations are only available on \(\left(Y, X_{1}\right)\). If large scale data on \(\left(X_{1}, X_{2}\right)\) are available, which do not include \(Y\), and if the regression of \(X_{2}\), given \(X_{1}\), is nonlinear, then one may