Series Graduate Student Series in Physics
Publication Date Jun 2003
Length c650pp, illus
ISBN Paperback:0-7503-0606-8
Synopsis
This is the second edition of a successful
textbook. For the
second edition Professor Nakahara has brought
the book up to date
by including material covering recent developments
in the subject.
The book provides an introduction to the
ideas and techniques of
differential geometry and topology. It starts
with a brief survey
of the physics needed to follow the arguments
- including quantum
field theory, gauge theory and general relativity
- to make sure
all readers set off from the same starting
point. Basic theory of
vector spaces and topology is also included
to make the book self-contained.
Working from the basics to the more elaborate
concepts of
topology and geometry, all is carefully explained
and illustrated
with applications. Explicit calculation and
diagrams clarify the
abstract ideas involved. Many illustrations,
exercises and
problems are included. This book will be
invaluable to advanced
undergraduates, postgraduate students and
researchers in
theoretical physics and applied mathematics.
ISBN: 0-471-43732-8
Hardcover
September 2002
Description
A Practical, Up-To-Date Guide To Modern Methods
In The Analysis
Of Time To Event Data.
The rapid proliferation of powerful and affordable
statistical
software packages over the past decade has
inspired the
development of an array of valuable new methods
for analyzing
survival time data. Yet there continues to
be a paucity of
statistical modeling guides geared to the
concerns of health-related
researchers who study time to event data.
This book helps bridge
this important gap in the literature.
Applied Survival Analysis is a comprehensive
introduction to
regression modeling for time to event data
used in
epidemiological, biostatistical, and other
health-related
research. Unlike other texts on the subject,
it focuses almost
exclusively on practical applications rather
than mathematical
theory and offers clear, accessible presentations
of modern
modeling techniques supplemented with real-world
examples and
case studies. While the authors emphasize
the proportional
hazards model, descriptive methods and parametric
models are also
considered in some detail. Key topics covered
in depth include:
* Variable selection.
* Identification of the scale of continuous
covariates.
* The role of interactions in the model.
* Interpretation of a fitted model.
* Assessment of fit and model assumptions.
* Regression diagnostics.
* Recurrent event models, frailty models,
and additive models.
* Commercially available statistical software
and getting the
most out of it.
Applied Survival Analysis is an ideal introduction
for graduate
students in biostatistics and epidemiology,
as well as
researchers in health-related fields.
ISBN: 0-470-85422-7
Hardcover
2378 Pages
December 2002
Description
The Wiley Reference Collection in Biostatistics
provides you with
the chance to purchase the three spin-off
volumes from the Wiley
Encyclopedia of Biostatistics, which present
information in
separate articles, arranged alphabetically
and with numerous
references to the current literature.
The three volumes in this series are:
* Encyclopedia of Epidemiologic Methods
* Biostatistics in Clinical Trials.
* Biostatistical Genetics and Genetic Epidemiology
Featuring contributions from leading experts
in academia,
government and industry, all three volumes
have been designed to
complement existing texts on the subject
by providing further
extensive, up-to-date coverage of specialised
topics and by
introducing the reader to the research literature.
By purchasing the Wiley Reference Collection
in Biostatistics you
can keep yourself up to date with the latest
advances in this
rapidly evolving field AND save yourself
or your library over #150.00
/ EURO250.00
ISBN: 0-470-84567-8
Paperback
448 Pages
July 2003
Bayesian Econometrics introduces the reader
to the use of
Bayesian methods in the field of econometrics
at the advanced
undergraduate or graduate level. The book
is self-contained and
does not require previous training in econometrics.
The focus is
on models used by applied economists and
the computational
techniques necessary to implement Bayesian
methods when doing
empirical work. It includes numerous numerical
examples and
topics covered in the book include:
the regression model (and variants applicable
for use with panel
data
time series models
models for qualitative or censored data
nonparametric methods and Bayesian model
averaging.
A website containing computer programs and
data sets to help the
student develop the computational skills
of modern Bayesian
econometrics can be found at: www.wiley.co.uk/koopbayesian
ISBN: 0-470-85156-2
Hardcover
196 Pages
May 2003
Description
Financial mathematics has recently enjoyed
considerable interest
on account of its impact on the finance industry.
In parallel,
the theory of Levy processes has also seen
many exciting
developments. These powerful modelling tools
allow the user to
model more complex phenomena, and are commonly
applied to
problems in finance. Levy Processes in Finance:
Pricing Financial
Derivatives takes a practical approach to
describing the theory
of Levy-based models, and features many examples
of how they may
be used to solve problems in finance.
Provides an introduction to the use of Levy
processes in finance.
Features many examples using real market
data, with emphasis on
the pricing of financial derivatives.
Covers a number of key topics, including
option pricing, Monte
Carlo simulations, stochastic volatility,
exotic options and
interest rate modelling.
Includes many figures to illustrate the theory
and examples
discussed.
Avoids unnecessary mathematical formalities.
The book is primarily aimed at researchers
and postgraduate
students of mathematical finance, economics
and finance. The
range of examples ensures the book will make
a valuable reference
source for practitioners from the finance
industry including risk
managers and financial product developers.