ISBN: 81-7319-703-2
Publication Year: September 2005
Pages: 360
Binding: Hard Back
Dimension: 185mm x 240mm
About the book
Many aspects of the classical probability theory based on vector
spaces were generalised in the second half of the twentieth
century to measures on groups, especially Lie groups. The subject
of Probability measures on groups, that emerged out this research
has continued to grow and many interesting new developments have
occurred in the area in recent years. A School was organised
jointly with CIMPA, France and the Tata Institute of Fundamental
Research entitled ``Probability Measures on Groups: Recent
Directions and Trends'' during 9--22 September 2002 in Mumbai.
Lecture courses were given at the School by M. Babillot (Orlean,
France), D. Bakry (Toulouse, France), S.G. Dani (Tata Institute,
Mumbai), J. Faraut (Paris), Y. Guivarc'h (Rennes, France) and M.
McCrudden (Manchester, U.K.), aimed at introducing various
advanced topics on the theme to students as well as teachers and
practicing mathematicians desirous of getting acquainted with the
area. The prerequisites for the courses were limited to only with
basic background in measure theory, harmonic analysis and
elementary Lie group theory. The courses were well-received.
Notes were prepared and distributed to the participants during
the courses. The present volume represents improved, edited and
refereed versions of the notes, brought out for dissemination of
the topics to the wider community.
Table of content
Preface / An Introduction to Poisson Boundaries of Lie Groups /
Functional Inequalities for Markov Semigroups / Asymptotic
Behaviour of Measures Under Automorphisms / Infinite Dimensional
Harmonic Analysis and Probability / Limit Theorems for Random
Walks and Products of Random Matrices / The Embedding Problem for
Probabilities on Locally Compact Groups.
Edited by Ralph Leighton with an introduction by Freeman Dyson and an afterword
by Alan Alda
An omnibus edition celebrating a great scientific mind and a
legendary American original?including a live recording.
RICHARD FEYNMAN (1918?1988) thrived on outrageous adventures. In
the phenomenal national bestsellers "Surely You're Joking,
Mr. Feynman!" and "What Do You Care What Other People
Think?" the Nobel Prize? winning physicist recounted in an
inimitable voice his adventures trading ideas on atomic physics
with Einstein and Bohr and ideas on gambling with Nick the Greek,
painting a naked female toreador, accompanying a ballet on his
bongo drums, solving the mystery of the Challenger disaster, and
much else of an eyebrow-raising, hugely entertaining, and
astounding nature. One of the most influential and creative minds
of recent history, Feynman also possessed an unparalleled ability
as a storyteller, a delightful coincidence celebrated in this
special omnibus edition of his classic stories. Now packaged with
an hour-long audio CD of the 1978 "Los Alamos from Below"
lecture, Classic Feynman offers readers a chance to finally hear
a great tale in the orator's own voice.
RALPH LEIGHTON, Richard Feynman's great friend and collaborator,
lives in Tiburon, California.
October 2005 / hardcover / ISBN 0-393-06132-9 / 608 pages
NEW IN PAPERBACK
0-19-726341-0
Publication date: 12 May 2005
160 pages, 3 tables, 3 figures, 234mm x 156mm
Description
An important study of a powerful but controversial theorem of the
probability calculus
Bayes's theorem is a tool for assessing how probable evidence
makes some hypothesis. The papers in this volume consider the
worth and applicability of the theorem. Richard Swinburne sets
out the philosophical issues. Elliott Sober argues that there are
other criteria for assessing hypotheses. Colin Howson, Philip
Dawid and John Earman consider how the theorem can be used in
statistical science, in weighing evidence in criminal trials, and
in assessing evidence for the occurrence of miracles. David
Miller argues for the worth of the probability calculus as a tool
for measuring propensities in nature rather than the strength of
evidence. The volume ends with the original paper containing the
theorem, presented to the Royal Society in 1763.
Readership: Scholars and students of the philosophy of
mathematics and probability
Contents
Richard Swinburne: Introduction
Elliott Sober: Bayesianism - its scopes and limits
Colin Howson: Bayesianism in Statistics
A P Dawid: Bayes's Theorem and Weighing Evidence by Juries
John Earman: Bayes, Hume, Price, and Miracles
David Miller: Propensities May Satisfy Bayes's Theorem
'An Essay Towards Solving a Problem in the Doctrine of Chances'
by Thomas Bayes, presented to the Royal Society by Richard Price.
Preceded by a historical introduction by G A Barnard.
Edited by Richard Swinburne, Emeritus Nolloth Professor of the
Philosophy of the Christian Religion, Oxford; Fellow of the
British Academy
Contributors: Philip Dawid, University College London John
Earman, University of PIttsburgh Colin Howson, London School of
Economics and Political Science David Miller, University of
Warwick Elliot Sober, University of Winsconsin Richard Swinburne,
Emeritus Nolloth Professor of the Philosophy of the Christian
Religion, Oxford; Fellow of the British Academy
0-19-856701-4
Publication date: 16 March 2006
296 pages, 25 line figures, 234mm x 156mm
Description
This revised edition contains 54% more exercises (including 84%
more applied exercises) to encourage exploration of the subject.
Many numerical examples to illustrate the statistical theory
Programs in SAS to show the reader how to perform their own
analysis and teach the software
Sections on power and sample size estimation address one of the
most difficult and frequently asked questions
New to this edition
This revised edition provides 54% more exercises than the
previous edition (inlcuding 84% more applied exercises), greatly
improving its suitability for use in the classroom. A new section
has also been added covering Poisson regression.
Discrete or count data arise in experiments where the outcome
variables are the numbers of individuals classified into unique,
non-overlapping categories. This revised edition describes the
statistical models used in the analysis and summary of such data,
and provides a sound introduction to the subject for graduate
students and practitioners needing a review of the methodology.
With many numerical examples throughout, it includes topics not
covered in depth elsewhere, such as the negative multinomial
distribution; the many forms of the hypergeometric distribution;
and coordinate free models. A detailed treatment of sample size
estimation and power are given in terms of both exact inference
and asymptotic, non-central chi-squared methods. A new section
covering Poisson regression has also been included. An important
feature of this book, missing elsewhere, is the integration of
the software into the text.
Many more exercises are provided (including 84% more applied
exercises) than in the previous edition, helping consolidate the
reader's understanding of all subjects covered, and making the
book highly suitable for use in a classroom setting. Several new
datasets, mostly from the health and medical sector, are
discussed, including previously unpublished data from a study of
Tourette's Syndrome in children.
Readership: Text for a graduate-level course Statistical
practitioners, graduate students
Contents
1 Introduction
2 Sampling distributions
3 Logistic regression
4 Log-linear models
5 Coordinate-free models
6 Additional topics
Appendix A: Power for chi-squared tests
Appendix B: Program for exact tests
Appendix C: The hypergeometric distribution
References
Selected solutions and hints
Index
Examples index
Author index
Subject index
Year of Publication: 2005
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford,
Wien, 2005. X, 144 pp.
ISBN 3-631-53403-5 / US-ISBN 0-8204-7669-2 pb.
Book synopsis
The main purpose of this book is to provide an advanced account
of some aspects of differentiable stable operators in Banach and
Hilbert spaces. The theory of linear and nonlinear stable
operators is presented in a systematic way and possible
applications are described. The book is useful to graduate
students and researchers.
Contents
Contents: Stability Concept - Stable Operators and Well-Posedness
- Generalization to Nonlinear Problems - Stable Operators in
Optimization.
About the author(s)/editor(s)
The Author: Vadim Azhmyakov, born in 1965, graduated in 1989 from
the Department of Applied Mathematics of the Technical University
of Moscow. He gained a PhD in Applied Mathematics in 1994. Since
1999 the author has been working as a researcher and lecturer at
the University of Greifswald.