Main Title |
Confidence Intervals and Curvature Measures in Nonlinear Regression Using the IML and NLIN Procedures in SAS (Trade Name) Software. |
Author |
Kugler, D. L. ;
Lee., E. H. ;
|
CORP Author |
NSI Technology Services Corp., Corvallis, OR.;Corvallis Environmental Research Lab., OR. |
Publisher |
1990 |
Year Published |
1990 |
Report Number |
EPA/600/D-90/077; |
Stock Number |
PB90-246398 |
Additional Subjects |
Regression analysis ;
Confidence limits ;
Computer programs ;
Reprints ;
Nonlinear analysis ;
Wald intervals
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB90-246398 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
8p |
Abstract |
Interval estimates for nonlinear parameters using the linear approximation are sensitive to parameter curvature effects. The adequacy of the linear approximation (Wald) interval is determined using the nonlinearity measures of Bates and Watts (1980), and Clarke (1987b), and the profile t plots of Bates and Watts (1988). These curvature measures and profile t plot calculations are implemented using the SAS/IML and SAS/NLIN procedures. |