D.Benest, C.Froeschle, E.Lega
Observatoire de la Cote dfAzure, Nice, France

Hamiltonian Systems and Fourier Analysis:
New Prospects For Gravitational Dynamics

Hb 350pp 2005

This multiauthor volume comprises selected papers and additional papers covering different domains of dynamics. It introduces mathematical methods for the theory of Hamiltonian systems and Fourier analysis in a comprehensive way starting at elementary level but also including up to date research and applications. The volume is intended as a useful source of reference for graduates and researchers working in mathematics, astronomy and mechanics.

1-904868-24-X


V.Lakshnikantham, T.Gnana Bhaskar and J.Vasundhara Devi,
Florida Institute of Technology, USA

Theory of Set Differential Equations in Metric Spaces

250pp Hbk 2005


The aim of this volume is to describe the theory of set differential equations (SDEs) as an independent discipline. It incorporates the recent general theory of set differential equations, discusses the interconnections between set differential equations and fuzzy differential equations and uses both smooth and nonsmooth analysis for investigation. The study of SDEs is a rapidly growing area of mathematics and this volume provides a timely introduction to a subject that follows the present trend of studying analysis and differential equations in metric spaces. It is a useful reference text for postgraduates and researchers/nonlinear analysts, engineering and computational scientists working in fuzzy systems.

1-904868-46-0

Andrew B. Lawson

Statistical Methods in Spatial Epidemiology, 2nd Edition

ISBN: 0-470-01484-9
Hardcover
424 pages
June 2006

Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling.

*Provides a comprehensive overview of the main statistical methods used in spatial epidemiology.
*Updated to include a new emphasis on bio-terrorism and disease surveillance.
*Enphasizes the importance of space-time modelling and outlines the practical application of the method.
*Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software.
*Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques.

This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.

Table of contents



Claudi Alsina (Universitat Politecnica de Catalunya, Barcelona, Spain), Maurice J Frank (Illinois Institute of Technology, Chicago, USA) & Berthold Schweizer (University of Massachusetts, Amherst, USA)

ASSOCIATIVE FUNCTIONS: TRIANGULAR NORMS AND COPULAS

The functional equation of associativity is the topic of Abel's first contribution to Crelle's Journal. Seventy years later, it was featured as the second part of Hilbert's Fifth Problem, and it was solved under successively weaker hypotheses by Brouwer (1909), Cartan (1930) and Aczel (1949). In 1958, B Schweizer and A Sklar showed that the "triangular norms" introduced by Menger in his definition of a probabilistic metric space should be associative; and in their book Probabilistic Metric Spaces, they presented the basic properties of such triangular norms and the closely related copulas. Since then, the study of these two classes of functions has been evolving at an ever-increasing pace and the results have been applied in fields such as statistics, information theory, fuzzy set theory, multi-valued and quantum logic, hydrology, and economics, in particular, risk analysis.
This book presents the foundations of the subject of associative functions on real intervals. It brings together results that have been widely scattered in the literature and adds much new material. In the process, virtually all the standard techniques for solving functional equations in one and several variables come into play. Thus, the book can serve as an advanced undergraduate or graduate text on functional equations.

Contents:

Representation Theorems for Associative Functions
Functional Equations Involving t-Norms
Inequalities Involving t-Norms
Appendices:
Examples and Counterexamples
Open Problems

Readership: Mathematicians, statisticians, economists, financial analysts, and other scientists; advanced undergraduate and graduate students interested in functional equations, copulas and their applications.

252pp Pub. date: Feb 2006
ISBN 981-256-671-6