Gastwirth, J., The George Washington University, Washington, DC, USA
(Ed.)

Statistical Science in the Courtroom

2000. Approx. 505 pp. 24 figs.
0-387-98997-8

Expert testimony relying on scientific and other specialized evidence has come under increased
scrutiny by the legal system. A trilogy of recent U.S. Supreme Court cases has assigned judges
the task of assessing the relevance and reliability of proposed expert testimony. In conjunction with
the Federal judiciary, the American Association for the Advancement of Science has initiated a
project to provide judges indicating a need with their own expert. This concern with the proper
interpretation of scientific evidence, especially that of a probabilistic nature, has also occurred in
England, Australia and in several European countries. Statistical Science in the Courtroom is a
collection of articles written by statisticians and legal scholars who have been concerned with
problems arising in the use of statistical evidence. A number of articles describe DNA evidence and
the difficulties of properly calculating the probability that a random individual's profile would "match"
that of the evidence as well as the proper way to intrepret the result. In addition to the technical
issues, several authors tell about their experiences in court. A few have become disenchanted with
their involvement and describe the events that led them to devote less time to this application.
Other articles describe the role of statistical evidence in cases concerning discrimination against
minorities, product liability, environmental regulation, the appropriateness and fairness of sentences
and how being involved in legal statistics has raised interesting statistical problems requiring further
research.

Contents: Evidence Interpretation and Sample Size Determination, C.G.G. Aitken.- Statistical
Issues in the Application of the Federal Sentencing Guidelines in Drug, Pornography, and Fraud
Cases, Alan J. Izenman.- Interpreting DNA Evidence: Can Probability Theory Help? David J.
Balding.- Statistics, Litigation, and Conduct Unbecoming, Seymour Geisser.- The Consequences of
Defending DNA Statistics, Bruce S. Weir.- DNA Statistics Under Trial in the Australia Adversarial
System, Janet Chaseling.- A Likelihood Approach to DNA Evidence, Beverly Mellen.- The Choice of
Hypotheses When Evaluating DNA Profile Evidence, Anders Stockmarr.- On the Evolution of
Analytical Proof, Statistics and the Use of Experts in EEO Litigation, Marc Rosenblum.- A
Connecticut Jury Array Challenge, David Pollard.- Issues Arising in the Use of Statistical Evidence
in Discrimination Cases, Joseph L. Gastwirth.- Statistical Consulting in the Legal Environment,
Charles R. Mann.- Epidemiological Causation in the Legal Context: Substance and Procedures,
Sana Loue.- Judicial Review of Statistical Analyses in Environmental Rulemakings, Wendy E.
Wagner.- Assessing Costs of Smoking for Minnesota - vs. - Tobacco; The Perspective of Statistical
Experts in a Landmark Civil Case, Scott L. Zeger, Timothy Wyant, Leonard Miller, and Jonathan
Samet.- Statistical Issues in the Estimation of the Causal Effects of Smoking Due to the Conduct
of the Tobacco Industry, Donald B. Rubin.- Forensic Statistics and Multiparty Bayesianism, Joseph
B. Kadane.- Warranty Contracts and Equilibrium Probabilities, Nozer D. Singpurwalla.- Death and
Deterrence: Notes on a Still Inchoate Judicial Inquiry, Robert J. Cottrol.- Introduction to Two Views
on the Shonubi Case, Alan J. Izenman.- Assessing the Statistical Evidence in the Shonubi Case,
Alan Izenman.- The Shonubi Case as Example of the Legal System's Failure to Appreciate
Statistical Evidence, Joseph L. Gastwirth, Boris Freidlin, and Weiwen.- Assessing the Statistical
Evidence in the Shonubi Case, Alan J. Izenman.

Series: Statistics for Social Science and Public Policy.

Verbeke, G., Katholieke Universiteit Leuven, Belgium
Molenberghs, G., Limburg Universitair Centrum, Diepenbeek, Belgium

Linear Mixed Models for Longitudinal Data

1st ed. 1997. 2nd printing 2000. Approx. 600 pp.
0-387-95027-3

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal
data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for
all aspects of the model, such as the marginal model, subject-specific profiles, and residual
covariance structure. Further, model diagnostics and missing data receive extensive treatment.
Sensitivity analysis for incomplete data is given a prominent place. Several variations to the
conventional linear mixed model are discussed (a heterogeity model, condional linear mid models).
This book will be of interest to applied statisticians and biomedical researchers in industry, public
health organizations, contract research organizations, and academia. The book is explanatory
rather than mathematically rigorous. Most analyses were done with the MIXED procedure of the
SAS software package, and many of its features are clearly elucidated. How3ever, some other
commercially available packages are discussed as well. Great care has been taken in presenting
the data analyses in a software-independent fashion. Geert Verbeke is Assistant Professor at the
Biostistical Centre of the Katholieke Universiteit Leuven in Belgium. He received the B.S. degree in
mathematics (1989) from the Katholieke Universiteit Leuven, the M.S. in biostatistics (1992) from
the Limburgs Universitair Centrum, and earned a Ph.D. in biostatistics (1995) from the Katholieke
Universiteit Leuven. Dr. Verbeke wrote his dissertation, as well as a number of methodological
articles, on various aspects of linear mixed models for longitudinal data analysis. He has held
visiting positions at the Gerontology Research Center and the Johns Hopkins University. Geert
Molenberghs is Assistant Professor of Biostatistics at the Limburgs Universitair Centrum in
Belgium. He received the B.S. degree in mathematics (1988) and a Ph.D. in biostatistics (1993)
from the

Contents: Introduction.- Examples.- A model for Longitudinal Data.- Exploratory Data Analysis.-
Estimation of the Marginal Model.- Inference for the Marginal Model.- Inference for the Random
Effects.- Fitting Linear Mixed Models with SAS.- General Guidelines for Model Building.- Exploring
Serial Correlation.- Local Influence for the Linear Mixed Model.- The Heterogeneity Model.-
Conditional Linear Mixed Models.- Exploring Incomplete Data.- Joint Modeling of Measurements
and Missingness.- Simple Missing Data Methods.- Selection Models.- Pattern-Mixture Models.-
Sensitivity Analysis for Selection Models.- Sensitivity Analysis for Models.- How Ignorable is
Missing at Random?- The Expectation-Maximization Algorithm.- Design Considerations.- Case
Studies.

Series: Springer Series in Statistics.

Tom Rodgers, David Wolfe, Editors

Puzzler's Tribute

This second collection of interesting mathematical puzzles continues the tribute to Martin
Gardner, who has provided us with original puzzles and puzzling stories ever since he
created and produced the Mathematical Games・column in Scientific American. The
international community of puzzle enthusiasts has gathered once again to celebrate Martin
Gardner's continued contribution and, most fittingly, has done so in kind, by providing new
challenges to our inquiring minds. We proudly present this collection to the mathemagicians
of the world for their enjoyment, as a playful provocation.

Year: 2000 ISBN: 1-56881-121-7


300 pages. Hardcover.

Ian Stewart, David Tall

Algebraic Number Theory and Fermat's Last Theorem: 3rd Edition

First published in 1979 and written by two distinguished mathematicians with a special gift for exposition,
this book is now available in a completely revised third edition. It reflects the exciting developments in
number theory during the past two decades that culminated in the proof of Fermat's Last Theorem.
Intended as a upper level textbook, it is also eminently suited as a text for self-study.

Year: 2000 ISBN: 1-56881119-5


250 pages. Hardcover.

BRIAN ROTMAN / Ohio State University

Mathematics as Sign

Description: Two features of mathematics stand out: its menagerie of seemingly eternal objects (numbers, spaces, patterns, functions, categories, morphisms, graphs, and so on), and the hieroglyphics of special notations, signs, symbols, and diagrams associated with them. In this book, Brian Rotman challenges the widespread belief in the origins of these objects and the understanding of mathematics as either a purely mental activity or a formal game of manipulating symbols. Instead, Rotman argues that mathematics is a vast and unique man-made imagination machine controlled by writing. The essays in this volume offer an accessible insight into Rotman's project, one that has been called 'one of the most original and important recent contributions to the philosophy of mathematics'.

ISBN, Binding, Price: 0804736839 Hardback
ISBN, Binding, Price: 0804736847 Paperback
Approximate Publication date: 1 November 2000
2000 228 x 152 mm 225pp 6 line diagrams

YVES MEYER ／Universit・Paris-Dauphine
AND RONALD COIFMAN ／Yale University

Wavelets Calderon-Zygmund and Multilinear Operators ペーパ版出来

Description: Now in paperback, this remains one of the classic expositions of the theory of wavelets from two of the subject's leading experts. In this volume the theory of paradifferential operators and the Cauchy kernel on Lipschitz curves are discussed with the emphasis firmly on their connection with wavelet bases. Sparse matrix representations of these operators can be given in terms of wavelet bases which have important applications in image processing and numerical analysis. This method is now widely studied and can be used to
tackle a wide variety of problems arising in science and engineering. Put simply, this is an essential purchase for anyone researching the theory of wavelets.

Contents: 7. The new Calderon-Zygmund operators; 8. David and Journ・s T(1) theorem; 9. Examples of Calder�n-Zygmund operators; 10. Operators corresponding to singular integrals: their continuity on H�lder and Sobolev spaces; 11. The T(b) theorem; 12. Generalized Hardy spaces; 13. Multilinear operators; 14. Multilinear analysis of square roots of accretive operators; 15. Potential theory in Lipshitz domains; 16. Paradifferential operators.

ISBN, Binding, Price: 0521794730 Paperback
Approximate Publication date: 30 June 2000
Series: Cambridge Studies in Advanced Mathematics, 48

EDITED BY MANNY RAYNER / NASA - RIACS
DAVID CARTER / SRI International, Cambridge
PIERETTE BOUILLON / University of Geneva, ISSCO
VASSILIS DIGALAKIS / Technical University of Crete
AND MATS WIR EACUTE;N / Telia Research

The Spoken Language Translator

Description: This book presents a detailed description of Spoken Language Translator (SLT), one of the first major projects in the area of automatic speech translation. The SLT system can translate between English, French, and Swedish in the domain of air travel planning, using a vocabulary of about 1500 words, and with an accuracy of about 75%. The greater part of the book describes the language processing components, which are largely built on top of the SRI Core Language Engine, using a combination of general grammars and
techniques that allow them to be rapidly customized to specific domains. Speech recognition is based on Hidden Markov Mode technology, and uses versions of the SRI DECIPHER system. This account of the Spoken Language Translator should be an essential resource both for those who wish to know what is achievable in spoken-language translation today, and for those who wish to understand how to achieve it.

Contents: 1. Introduction; Part I. Language Processing and Corpora: 2. Translation using the core language engine; 3. Grammar specialization; 4. Choosing between interpretations; 5. The TreeBanker; 6. Acquisition of lexical entries; 7. Spelling and morphology; 8. Corpora and data collection; Part II. Linguistic Coverage: 9. English coverage; 10. French coverage; 11. Swedish coverage; 12. Transfer coverage; 13. Rational re-use of linguistic data; Part III. Speech Processing: 14. Speech recognition; 15. Acoustic modeling; 16. Language
modeling for multilingual speech translation; 17. Porting a recognizer to a new language; 18. Multiple dialects and languages; 19. Common speech-language issues; Part IV. Evaluation and Conclusions: 20. Evaluation; 21. Conclusions; Appendix A. The mathematics of discriminant scores; Appendix B. Notation for QLF-based processing.

ISBN, Binding, Price: 0521770777 Hardback
Approximate Publication date: 18 September 2000
Main Subject Category: Computer info, methods, human-computer interaction
Series: Studies in Natural Language Processing
2000 228 x 152 mm 360pp 25 line diagrams 33 tables