Books listed here have been assigned for review in the past quarter. Publication of their reviews or reports generally would occur within the next four issues of the journal. Persons interested in reviewing specific books must notify the editor soon after the publication date for the book. Persons interested in being reviewers or reviewing specific books should contact the editor by electronic mail (eric.ziegel@bp.com).

Advanced Distance Sampling, by S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas, Oxford University Press

Advances in Multivariate Data Analysis, edited by Hans-Herman Bock, Marcello Chiodi, and Antonion Mineo, Springer-Verlag

Applied Linear Regression (3rd. ed.), by Sanford Weisberg, Wiley

Applied Mathematical Demography (3rd ed.), by Nathan Keyfitz and Hal Caswell, Springer-Verlag

Applied Research in Uncertainty Modeling and Analysis, edited by Nii O. Attoh-Okine and Bilal M. Ayyub, Springer-Verlag

Data Visualization in the Geosciences, by James R. Carr, Prentice Hall

Engineering Design Reliability Handbook, edited by Efstratios Nikolaidis, Dan M. Ghiocel, and Suren Singhal, CRC Press

The Essence of Multivariate Thinking, by Lisa L. Harlow, Lawrence Erlbaum Associates Publishers

Exploratory Data Analysis With MATLAB[R], by Wendy L. Martinez and Angel R. Martinez, Chapman & Hall/CRC

Handbook of Computational Statistics, edited by James E. Gentle, Wolfgang Hardle, and Yuichi Mori, Springer-Verlag

Image Processing and Jump Regression Analysis, by Peihua Qiu, Wiley

Independent Component Analysis, by Aapo Hyvarinen, Juha Karhunen, and Erkki Oja, Wiley

Independent Component Analysis, by James V. Stone, MIT Press

Introduction to Robust Estimation and Hypothesis Testing (2nd ed.), by Rand R. Wilcox, Elsevier Academic Press

Multi-Way Analysis With Applications in the Chemical Sciences, by Age Smilde, Rasmus Bro, and Paul Geladi, Wiley

Next Generation of Data-Mining Applications, edited by Mehmed M. Kantardzic and Jozef Zurada, Wiley

Practical Guide to Designed Experiments, by Paul D. Funkenbusch, Marcel Dekker

An R and S-PLUS[R] Companion to Multivariate Analysis, by Brian Everitt, Springer-Verlag

Regression Methods in Biostatistics, by Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, and Charles E. McCulloch, Springer-Verlag

Reliability, Quality, and Safety for Engineers, by B. S. Dhillon, CRC Press

The Six Sigma Practitioner's Guide to Data Analysis, by Donald J. Wheeler, SPC Press

Statistical and Computational Inverse Problems, by Jair Kaipio and Erkki Somersalo, Springer-Verlag

Statistical Concepts and Applications in Clinical Medicine, by John Aitchison, Jim W. Kay, and Ian J. Lauder, Chapman & Hall/CRC

Statistical Methods in Bioinformatics: An Introduction (2nd ed.), by Warren J. Ewens and Gregory R. Grant, Springer-Verlag