Applied regression analysis
N. R. Draper, H. Smith.
New York : Wiley, ©1966.
ix, 407 págs. : ilustraciones ; 24 cm.
ISBN: 0471221708
Bibliografía: p. 309-316.
Reseña: MathSciNet, 35 #2415
Capítulos
- 1. Fitting a straight line by least squares
- 2. The matrix approach to linear regression
- 3. The examination of residuals
- 4. Two independent variables
- 5. More complicated models
- 6. Selecting the "best" regression equation
- 7. A specific problem
- 8. Multiple regression and mathematical model building
- 9. Multiple regression applied to analysis of variance problems
- 10. An introduction to nonlinear estimation.