𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Calculating Ordinal Regression Models in SAS and S-Plus

✍ Scribed by Ralf Bender; Axel Benner


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
294 KB
Volume
42
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Regression models: calculating the confi
✍ Adolfo Figueiras; Jose Maria Domenech-Massons; Carmen Cadarso πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 90 KB πŸ‘ 1 views

The main goal of regression analysis (multiple, logistic, Cox) is to assess the relationship of one or more exposure variables to a response variable, in the presence of confounding and interaction. The confidence interval for the regression coefficient of the exposure variable, obtained through the

A Note on Maximum Likelihood Ratio Test
✍ Prof. S. R. Paul πŸ“‚ Article πŸ“… 1986 πŸ› John Wiley and Sons 🌐 English βš– 180 KB πŸ‘ 2 views

A derivation of the maximum likelihood ratio test for testing no outliere in regreeeion models h given ueing the method of WETEXEILL (1981, pp. 106-107) for estimating the regreeeion parsmetere. This method h eseentially eimilar to the one outlined in B a s m and Lmwm (1978, p. 283), although by our

Hybridization between Οƒ- and z-co-ordina
✍ Hans Burchard; Ole Petersen; Ole Petersen πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 353 KB πŸ‘ 1 views

It is discussed in this paper how the pressure gradient error in general vertical co-ordinate models (in which the s-transformation is a special case) can be reduced by means of hybrid models. For a better understanding, the derivation of such a general vertical co-ordinate model from the Cartesian

Estimation and testing of time-varying c
✍ S. J. Leybourne πŸ“‚ Article πŸ“… 1993 πŸ› John Wiley and Sons 🌐 English βš– 709 KB

## Abstract A linear regression model with random walk coefficients is extended to allow for linear restrictions between the coefficients to be satisfied at each point in time. Estimation in this model is shown to be no more involved than estimation in the standard model. It is also demonstrated ho

Some aspects of measurement error in exp
✍ G. K. Reeves; D. R. Cox; S. C. Darby; E. Whitley πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 189 KB πŸ‘ 2 views

A simple form of measurement error model for explanatory variables is studied incorporating classical and Berkson cases as particular forms, and allowing for either additive or multiplicative errors. The work is motivated by epidemiological problems, and therefore consideration is given not only to