M. M Desu University of New York, Buffalo, New York, USA

D. Raghavarao Temple University, Philadelphia, Pennsylvania, USA

Nonparametric Statistical Methods For Complete and Censored Data

ISBN: 1-58488-319-7
Publication Date: 6/6/2003
Number of Pages: 352

Introduces and develops the commonly used nonparametric statistical methodologies for the analysis of censored and uncensored data
Discusses nonparametric correlation and regression methods and methods for data analysis using random samples
Includes discussions on clinical equivalence with binary data
Presents techniques valuable to the pharmaceutical industry and to psychology and social scientists Illustrates calculations using SAS and makes the code available for download from the Internet

Balancing the "cookbook" approach of some texts with the mathematical approach of others, this book introduces and develops some of the commonly used techniques of nonparametric statistics that are particularly important in biostatistics and the social sciences. The presentation is organized in relation to one, two, and multi-sample problems and includes discussions on correlation and regression methods and clinical equivalence with binary data. To make the material more accessible and practical, the authors use SAS to illustrate the calculations and present the mathematical details in appendices within each chapter. To help with problem solving, SAS code is presented both within the book and on the Internet.

Mohamed Shoukri University of Guelph, Ontario, Canada

Measurement of Agreement for Categorical Data

ISBN: 1-58488-321-9
Publication Date: 5/23/2003
Number of Pages: 224

Presents an comprehensive review of the interobserver agreement approach to assessing the reliability of a rating system
Provides direction and standards for conducting clinical and other types of studies
Provides numerous examples of applications and includes an extensive review of the literature
Includes a chapter on the reliability of continuous measurements
Supplies SAS code for problem solving both within the book and on the CRC Web site

Measuring interobserver agreement is a method used to evaluate inconsistencies in findings from different evaluators who collect basically the same information. Emphasizing applications over theory, this book provides a comprehensive survey of this method and provides readers with standards and directions on how to run sound clinical and other types of studies. The author clearly explains how to reduce measurement error and presents numerous practical examples of the interobserver agreement approach. To help with problem solving, the treatment includes SAS code, both within the book and on the CRC Web site. An extensive review of the literature provides access to the latest development in the field.

Lawrence C Washington University of Maryland, College Park, Maryland, USA

Elliptic Curves: Number Theory and Cryptography

Series: Discrete Mathematics and Its Applications

ISBN: 1-58488-365-0
Publication Date: 5/23/2003
Number of Pages: 352

Presents elliptic curves at a very basic level for those who want to learn about their applications to cryptography
Provides cryptographic algorithms show readers how the elliptic curve works in cryptography
Includes applications such as the discrete log problem, Pollard Cryptosystem, Diffie-Hellman, and ElGamal public key and signature
Presents number theoretic topics to make the book more appealing to the mathematician
Covers elliptic curves over the rationals, the complex numbers, complex multiplication, and zeta functions
Introduces cryptographic topics early on in the book to make it more accessible to a broader audience

Written by a well-known number theorist with extensive cryptographic background, this book interweaves the theory of elliptic curves with their applications, particularly to cryptography. These applications include the discrete log problem, Pollard Cryptosystem, Diffie-Hellman, and ElGamal public key and signature. It also includes many applications to factorization, primality testing, and diophantine equations. By avoiding technicalities, the book makes cryptographic algorithms accessible to a large audience, including senior-level undergraduate and graduate students in mathematics and computer science.

Hamparsum Bozdogan University of Tennessee, Knoxville, Tennessee, USA

Statistical Data Mining & Knowledge Discovery

ISBN: 1-58488-344-8
Publication Date: 7/11/2003
Number of Pages: 0

Examines the application of data analysis methods to data mining and knowledge discovery
Identifies applications of data mining and knowledge discovery in practices such as market segmentation, image and speech analysis, and fraud detection
Explores the application of data mining and knowledge discovery to E-Commerce
Features a chapter by David Hand on the principles and ethics of data mining

A carefully edited collection of contributions from international experts such as David Hand, Stephen Fienberg, and Andreas Wiegand, this book explores a variety of topics related to applying data analysis methods to data mining and knowledge discovery--fields of rapidly increasing interest and importance. With special focus on E-commerce, it examines the practical applications of these processes in areas such as market segmentation, customer profiling, image and speech analysis, and fraud detection and offers a multidisciplinary perspective through research from diverse areas, including computer science, statistics, artificial intelligence, financial engineering, and medicine.

Chris Chatfield University of Bath, UK

The Analysis of Time Series: An Introduction, 6th Edition

Series: Texts in Statistical Science Series

ISBN: 1-58488-317-0
Publication Date: 7/29/2003
Number of Pages: 312

Covers both the theoretical and practical aspects of the subject needed by readers planning to do thorough analyses
Provides broad coverage that gives readers a brief introduction and references to many topics
Makes available on the Internet all data used in the book
Offers a well-polished presentation, continually refined through five previous editions
Includes new US datasets that broaden the book's appeal in North America

Now in its sixth edition, this book provides an accessible, comprehensive introduction to the theory and practice of time series analysis. It covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear models and multivariate models, wavelets, and long-memory models. Building on the success of earlier editions, the sixth edition has been thoroughly revised and updated, and all of the data sets will be available for download from the Internet. Its polished presentation and broad coverage make this simply the best introductory text available on the subject.