|
Berry, W. D. and Feldman, S. Multiple Regression
in Practice, Sage Publications 1985
Breiman, L., Friedman, J. H., Olshen, R. A. and
Stone, C. J. Classification and Regression Trees, Wadsworth &
Brooks/Cole 1984
Chambers, J. M. and Hastie, T. J. Statistical
Models in S, Wadsworth & Brooks/Cole Advanced Books &
Software, 1992
Cook, D.
and S. Weisberg. “Graphics
for Assessing the Adequacy of Regression Models,” Journal of the
American Statistical Association, Vol. 92 (June 1997):
490-499.
Cook,
R.D. (1992), Graphical Regression.
In Dodge, Y. and Whittaker, J. (eds) Computational Statistics,
Vol. 1, New York, Springer-Verlag.
Contains introductory theoretical ideas for graphical regression.
Cook,
R.D. (1995), Graphics for studying the net of regression predictors.
Statistica Sinica, 5, 689-709.
Net effect plots for studying the contribution of a predictor to
a regression problem.
Efron,
B. The Jackknife, the Bootstrao and Other Resampling Plans.
Society for Industrial and Applied Mathematics, 1990
Fox,
John. Multiple and Generalized Nonparametric Regression Sage
Publications, 2000
Fox,
John. Linear Statistical Models and Related Methods. John Wiley
& Sons, 1984
Fox,
John. Regression Diagnostics.
Sage Publications, 1991
Gill,
Jeff. Generalized Linear Models - a unified approach. Sage
Publications, 2001
Harrell,
F. E. Regression Modeling Strategies. Springer-Verlag 2001
Iversen,
G. R. Bayesian Statistical Inference. Sage Publications 1984
Jaccard,
J., Turrisi R. and Wan, C. K. Interaction Effects in Multiple
Regression. Sage Publications 1990
King, G.
A Solution to Ecological Inference Problem. Princeton University
Press 1997
Kreft,
I. And Leeuw, J. D. Introducing Multilevel Modeling. Sage
Publications 1999
Nelson,
C.R. and H. Kang. “
Pitfalls in the Use of Time as an Explanatory Variable in Regression,”
Journal of Business & Economic Statistics, Vol. 2
(1984): 73-81.
Rice, J.
A. Mathematical Statistics and Data Analysis. Wadsworth &
Brooks/Cole 1988
Venables,
W. N. and Ripley, B. D. Modern Applied Statistics with S-plus.
Springer-Verlag 1997
Weisberg,
S. (1996), A graphical paradigm for regression.
In Fox, J. and Stine, R. (eds), Statistical Computing
Environments for Social Research.
Thousand Oaks, Sage.
Zellner and Moulton, “Bayesian regression
Diagnostics with Applications to International Consumption and Income
Data,” Journal of
Econometrics, 29 (1985): 187-211.
Online
Statistics Textbooks
|