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Abstract:

HASTIE, T., TIBSHIRANI, R. and FRIEDMAN, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

ATKINSON, A. and RIANI, M. Robust Diagnostic Regression Analysis.

CHRISTENSEN, R. Advanced Linear Modelling, 2nd edition.

MILLARD, S.P. and KRAUSE, A. (editors). Applied Statistics in the Pharmaceutical Industry with Case Studies using s-PLUS.

EVERITT, B. S. and DUNN, G. Applied Multivariate Data Analysis, 2nd edition.

COX, T. F. and COX, M. A. A. Multidimensional Scaling, 2nd edition.

FREUND, R. J. and LITTELL, R. C. SASĀ® System for Regression, 3rd edition.

LIU, J. S. Monte Carlo Strategies in Scientific Computing.

LUNNEBORG, C. E. Data Analysis by Resampling: Concepts and Applications.

HOUGAARD, P. Analysis of Multivariate Survival Data.

EGGERMONT, P. P. B. and LARICCIA, V. N. Maximum Penalized Likelihood Estimation, Volume 1: Density Estimation.

KOT, M. Elements of Mathematical Ecology. Brief Reports by the Editor

GRIMMETT, G. and STIRZAKER, D. Probability and Random Processes.

GRIMMETT, G. and STIRZAKER, D. One Thousand Exercises in Probability.

CONDRA, L. W. Reliability Improvement with Design of Experiments, 2nd edition.

VOIT, E. O. Computational Analysis of Biochemical Systems.

TITTERINGTON, D. M. and COX, D. R. (editors). Biometrika: One Hundred Years.

Document Type: Book Review

DOI: http://dx.doi.org/10.1111/j.0006-341X.2002.00252.x

Publication date: March 1, 2002

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