ISBN: 0-471-48855-0
Paperback
329 pages
September 2003
Description
"I would highly recommend the addition
of this book to the
libraries of both students and professionals.
It is a useful
textbook for the graduate student, because
it emphasizes both the
philosophy and practice of robustness in
regression settings, and
it provides excellent examples of precise,
logical proofs of
theorems. . . .Even for those who are familiar
with robustness,
the book will be a good reference because
it consolidates the
research in high-breakdown affine equivariant
estimators and
includes an extensive bibliography in robust
regression, outlier
diagnostics, and related methods. The aim
of this book, the
authors tell us, is eto make robust regression
available for
everyday statistical practice.f Rousseeuw
and Leroy have
included all of the necessary ingredients
to make this happen."
?Journal of the American Statistical Association
Table of Contents
Introduction.
Simple Regression.
Multiple Regression.
The Special Case of One-Dimensional Location.
Algorithms.
Outlier Diagnostics.
Related Statistical Techniques.
References.
Table of Data Sets.
Index.
ISBN: 0-471-24977-7
Hardcover
624 pages
September 2003
Description
An accessible, clearly organized survey of
the basic topics of
measure theory for students and researchers
in mathematics,
statistics, and physics
In order to fully understand and appreciate
advanced probability,
analysis, and advanced mathematical statistics,
a rudimentary
knowledge of measure theory and like subjects
must first be
obtained. The Theory of Measures and Integration
illuminates the
fundamental ideas of the subject?fascinating
in their own
right?for both students and researchers,
providing a useful
theoretical background as well as a solid
foundation for further
inquiry.
Eric Vestrupfs patient and measured text
presents the major
results of classical measure and integration
theory in a clear
and rigorous fashion. Besides offering the
mainstream fare, the
author also offers detailed discussions of
extensions, the
structure of Borel and Lebesgue sets, set-theoretic
considerations, the Riesz representation
theorem, and the Hardy-Littlewood
theorem, among other topics, employing a
clear presentation style
that is both evenly paced and user-friendly.
Chapters include:
Measurable Functions
The Lp Spaces
The Radon-Nikodym Theorem
Products of Two Measure Spaces
Arbitrary Products of Measure Spaces
Sections conclude with exercises that range
in difficulty between
easy "finger exercises"and substantial
and independent
points of interest. These more difficult
exercises are
accompanied by detailed hints and outlines.
They demonstrate
optional side paths in the subject as well
as alternative ways of
presenting the mainstream topics.
In writing his proofs and notation, Vestrup
targets the person
who wants all of the details shown up front.
Ideal for graduate
students in mathematics, statistics, and
physics, as well as
strong undergraduates in these disciplines
and practicing
researchers, The Theory of Measures and Integration
proves both
an able primary text for a real analysis
sequence with a focus on
measure theory and a helpful background text
for advanced courses
in probability and statistics.
Table of Contents
Preface.
Acknowledgments.
Set Systems.
Measures.
Extensions of Measures.
Lebesgue Measure.
Measurable Functions.
The Lebesgue Integral.
Integrals Relative to Lebesgue Measure.
The Lp Space.
The Radon-Nikodym Theorem.
Products of Two Measure Spaces.
Arbitrary Products of Measure Spaces.
References.
ISBN: 0-470-84916-9
Hardcover
ISBN: 0-470-84917-7
Paperback
360 pages
January 2004
Description
Logistic systems constitute one of the cornerstones
in the design
and control of production systems and the
modelling of supply
chains. They are key to a number of industries,
and courses
teaching logistics systems planning and control
are becoming more
widespread. Introduction to Logistics Systems
Planning and
Control is the first book to present the
quantitative methods
necessary for logistics systems management
at a level suitable
for students of engineering, computer science
and management
science. It features introductory material
on business logistics
and covers sales forecasting, inventory management,
warehouse
design and management, and transport planning
and control.
Presents a balanced treatment of quantitative
methods for
logistics systems planning, organization
and control.
Each topic is illustrated with real examples.
Features a number of case studies that show
how the methods can
be applied to complex logistics problems.
Each chapter features an annotated bibliography
of key references.
Assumes only a basic knowledge of operations
research.
Supported by a Website featuring exercises
and teaching material.
Introduction to Logistics Systems Planning
and Control provides
an accessible self-contained introduction
to the subject for
researchers, practitioners, and students
of logistics and supply
chain management, in both academia and industry.
The book has
been developed from courses taught to engineering,
computer
science and management science undergraduate
and graduate
students.
Table of Contents
Foreword.
Preface.
Problems and Website.
Acknowledgements.
About the Authors.
Introducing Logistics Systems.
Forecasting Logistics Requirements.
Designing the Logistics Network.
Solving Inventory Management Problems.
Designing and Operating a Warehouse.
Planning and Managing Long-Haul Freight Transportation.
Planning and Managing Short-Haul Freight
Transportation.
Linking Theory and Practice.
Abbreviations.
ISBN: 0-471-47133-X
Hardcover
664 pages
November 2003
Description
Several recent standards, such as the IEC
60300-series and IEC
61508, have changed the focus of reliability
engineering and
introduced new concepts and terminology into
the field. Updating
the previous edition, System Reliability
Theory: Models and
Statistical Methods, Second Edition introduces
and discusses
basic assessment methods for operational
availability and
production regularity and provides insight
into the latest
developments in the field.
Table of Contents
Preface.
Acknowledgments.
1. Introduction.
2. Failure Models.
3. Qualitative Systems Analysis.
4. Systems of Independent Components.
5. Component Importance.
6. Dependent Failures.
7. Counting Processes.
8. Markov Models.
9. Reliability of Maintained Systems.
10. Reliability of Safety Systems.
11. Life Data Analysis.
12. Accelerated Life Testing.
13. Bayesian Reliability Analysis.
14. Reliability Data Sources.
Appendix A. The Gamma and Beta Functions.
Appendix B. Laplace Transforms.
Appendix C. Kronecker Products.
Appendix D. Distribution Theorems.