Apr 2004 In Stock
Description
A great variety of complex phenomena in many scientific fields
exhibit power-law behavior, reflecting a hierarchical or fractal
structure. Many of these phenomena seem to be susceptible to
description using approaches drawn from thermodynamics or
statistical mechanics, particularly approaches involving the
maximization of entropy and of Boltzmann-Gibbs statistical
mechanics and standard laws in a natural way. The book addresses
the interdisciplinary applications of these ideas, and also on
various phenomena that could possibly be quantitatively
describable in terms of these ideas.
Product Details
440 pages; 22 halftones, 77 line illus.; 6-1/8 x 9-1/4; 0-19-515977-2
Paperback
440 pages; 22 halftones, 77 line illus.; 6-1/8 x 9-1/4; 0-19-515976-4
Hardback
About the Author(s)
Edited by Murray Gell-Mann, Professor, Sante Fe Institute, and
Constantino Tsallis, Brazilian Center for Physics Research
Description
This balanced and well-integrated text gives a lucid overview of
the entire process of genetic epidemiology, from familial
aggregation through segregation, likage, and association studies.
It is illustrated throughout with examples from the literature on
cancer genetics. Statistical concepts are developed in depth, but
with a focus on applications. Introductory chapters on molecular
biology, Mendelian genetics, epidemiology, statistics, and
population genetics are included. Oriented to graduate students
in biostatistics, epidemiology, and human genetics, the book will
also be a useful reference for researchers. It gives equal
emphasis to study designs and data analysis.
Product Details
464 pages; 95 line illus.; 6-1/8 x 9-1/4; 0-19-515939-X Hardback
About the Author(s)
Duncan C. Thomas, Professor of Preventive Medicine, Director of
the Biostatistics Division, and Verna R. Richter Chair in Cancer
Research, University of Southern California Keck School of
Medicine
Description
Analytic procedures suitable for the study of human disease are
scattered throughout the statistical and epidemiologic literature.
Explanations of their properties are frequently presented in
mathematical and theoretical language. This well-established text
gives readers a clear understanding of the statistical methods
that are widely used in epidemiologic research without depending
on advanced mathematical of statistical theory. By applying these
methods to actual data, Selvin reveals the strengths and
weaknesses of each analytic approach. He combines techniques from
the fields of statistics, biostatistics, demography and
epidemiology to present a comprehensive overview that does not
require computational details of the statistical techniques
described.
For the Third Edition, Selvin took out some old material (e.g.
the section on rarely used cross-over designs) and added new
material (e.g. sections on frequently used contingency table
analysis). Throughout the text he enriched existing discussions
with new elements, including the analysis of multi-level
categorical data and simple, intuitive arguments that exponential
survival times cause the hazard function to be constant. He added
a dozen new applied examples to illustrate such topics as the
pitfalls of proportional mortality data, the analysis of matched
pair categorical data, and the age-adjustment of mortality rates
based on statistical models. The most important new feature is a
chapter on Poisson regression analysis. This essential
statistical tool permits the multivariable analysis of rates,
probabilities and counts.
Reviews
From reviews of previous editions:
"This book is well-written and is generally easy to read.
Selvin has done a nice job of presenting methods and illustrating
the methods with numerical data."--Journal of the American
Statistical Association
"...an outstanding, readable, and useful presentation of the
methods of analysis of disease data. The author has filled a gap
admirably. I am sure that this book will deservedly become
extensively used in the field of epidemiology world-wide..."--International
Journal of Health Sciences
"This is a well-written book that provides an important link
between the analysis and interpretation of continuous data in
epidemiologic terms. The text would be useful in an immediate
epidemiology course that describes the basics of life-table
analysis, logistic regression, and survival analysis."--Epidemiology
Monitor
Product Details
512 pages; 77 line illus.; 6-1/8 x 9-1/4; 0-19-517280-9 hardback
About the Author(s)
Steve Selvin, Professor of Biostatistics and Epidemiology,
University of California, Berkeley
(Hardback)
0-19-850672-4
Publication date: 29 April 2004
312 pages, 9 b/w line drawings, 234mm x 156mm
Series: Numerical Mathematics and Scientific Computation
Breaks new ground in the wide field of orthogonal polynomials and
their applications
Eminently practical, yet based on solid theory
First available collection of relevant Matlab codes
Contains ready-to-use computer programs
Enables many applications of orthogonal polynomials without
comprehensive knowledge of underlying theory
Provides ample references to literature
Description
Orthogonal polynomials are a widely used class of mathematical
functions that are helpful in the solution of many important
technical problems. This book provides, for the first time, a
systematic development of computational techniques, including a
suite of computer programs in Matlab downloadable from the
Internet, to generate orthogonal polynomials of a great variety.
Readership: Wide readership of scientists and engineers working
in academia or industry who need to apply orthogonal polynomials.
Also of interest to mathematicians and numerical analysts.
Contents/contributors
Basic Theory
1.1 Orthogonal polynomials
1.2 Properties of orthogonal polynomials
1.3 Three-term recurrence relation
1.4 Quadrature rules
1.5 Classical orthogonal polynomials
1.6 Kernal polynomials
1.7 Sobolev orthogonal polynomials
1.8 Orthogonal polynomials on the semicircle
1.9 Notes to chapter 1
Computational Methods
2.1 Moment-based methods
2.2 Discretization methods
2.3 Computing Cauchy integrals of orthogonal polynomials
2.4 Modification algorithms
2.5 Computing Sobolev orthogonal polynomials
2.6 Notes to chapter 2
Applications
3.1 Quadrature
3.2 Least squares approximation
3.3 Moment-preserving spline approximation
3.4 Slowly convergent series
3.5 Notes to chapter 3
(Paperback)0-19-852981-3
(Hardback) 0-19-852980-5
Publication date: July 2004
400 pages, 240mm x 168mm
Series: OXFORD TEXTS IN LOGIC
Extensive coverage of the basics of classical logic
Extremely clear, thorough and accurate
Ideal textbook for a first or refresher course
Contains numerous exercises
Aimed at a broad audience from students of computer science
through mathematics, logic and philosophy
Description
'a clear and unifying treatment of fundamental concepts
underlying Computer Sciences and Foundations of Mathematics'
Professor Boris Zilber (Professor of Mathematical Logic,
University of Oxford)
'an excellent book' Professor Dov Gabbay (King's College, London)
Based on the author's teaching notes, this comprehensive text
covers the basics of classical logic, including propositional
logic, first-order logic, and second-order logic, as well as
proof theory, computability theory, and model theory. Extremely
clear, thorough and accurate, this text is ideal for a first or
refresher course.
Readership: Comprehensive text on the basics of logic for year 3
and 4 undergraduates of mathematics, logic, computer science and
philosophy.
Contents/contributors
Preliminaries
1 Propositional Logic
2 Structures and First-Order Logic
3 Proof Theory
4 Properties of First-Order Logic
5 First-Order Theories
6 Models of Countable Theories
7 Computability and Complexity
8 The Incompleteness Theorems
9 Beyond First-Order Logic
10 Finite Model Theory
Bibliography
Index