ISBN: 978-0-471-75044-4
Hardcover
608 pages
July 2007
This text presents the basics of distribution logistics (DL) in both a qualitative and quantitative manner so as to reach out to a multitude of reader backgrounds. Devoid of solid quantitative books in the marketplace, this book fills a gap. The authors do not encourage the undiscriminating use of sophisticated models and algorithms to the detriment of intuition and common sense. The emphases throughout the book are on the variety and complexity of issues and sub problems surrounding DL and their limitations and scope of applicability. The context in which a firm operates, its strategic positioning, and the managerial levers that decision makers may act upon represent key discussions and provide a unified approach to the subject matter.
Contents
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ISBN: 978-0-470-05830-5
Hardcover
1616 pages
October 2007
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance.
As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research.
Contents
ISBN: 978-0-470-14115-1
Hardcover
464 pages
August 2007
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. This book uniquely covers the topics usually found in a typical introductory statistics book but from a Bayesian perspective, now with increased exercises and coverage of a variety of Poisson techniques.
Contents
ISBN: 978-0-470-08147-1
Hardcover
448 pages
July 2007
This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern nonparametric methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical and nonparametric likelihood, and goodness of fit testing. MATLAB is the computing and programming system of choice throughout the book because of its special applicability for research analysis and simulation.
Table of Contents
1. Introduction.
2. Probability Basics.
3. Statistics Basics.
4. Bayesian Statistics.
5. Order Statistics.
6. Goodness of Fit.
7. Rank Tests.
8. Designed Experiments.
9. Categorical Data.
10. Estimating Distribution Functions.
11. Density Estimation.
12. Beyond Linear Regression.
13. Curve Fitting Techniques.
14. Wavelets.
15. Bootstrap.
16. EM Algorithm.
17. Statistical Learning.
18. Nonparametric Bayes.
19. Appendix A. MATLAB.
20. Appendix B. WinBUGS.
Notation Index.
Author Index.
Subject Index.
ISBN: 978-0-471-75156-4
Hardcover
392 pages
August 2007
This introduction to linear algebra by world-renowned mathematician Peter Lax is unique in its emphasis on the analytical aspects of the subject as well as its numerous applications. The book grew out of Dr. Lax's course notes for the linear algebra classes he taught at New York University. Geared to graduate students as well as advanced undergraduates, it assumes only limited knowledge of linear algebra and avoids subjects already heavily treated in other textbooks. While it discusses linear equations, matrices, determinants, and vector spaces, it also includes a number of exciting topics, such as eigenvalues, the Hahn-Banach theorem, geometry, game theory, and numerical analysis.
Contents
ISBN: 978-3-527-40605-0
Hardcover
786 pages
October 2007
This long-awaited revised second edition of the standard reference on the subject has been expanded to include such recent developments as control of chaotic space-time patterns, control of noisy nonlinear systems, and communication with chaos, as well as promising new directions in research. The contributions from leading international scientists active in the field provide a comprehensive overview of our current level of knowledge on chaos control and its applications in physics, chemistry, biology, medicine, and engineering. In addition, they identify the overlap with the traditional field of control theory in the engineering community.
An interdisciplinary approach of interest to scientists and engineers working in a number of areas.
Table of contents
Basic aspects and extension of methods
Controlling space-time chaos
Controlling noisy motion
Communicating with chaos, chaos synchronisation
Applications to physics
Applications to optics
Applications to chemical reaction systems
Applications to biology
Applications to engineering
ISBN: 978-0-470-04963-1
Hardcover
736 pages
September 2007
The objective of this book is for the reader to learn where approximation methods come from, why they work, why they sometimes don't work, and when to use which of many techniques that are available, and to do all this in a way that emphasizes readability and usefulness to the numerical methods novice. Each chapter and each section begins with the basic, elementary material and gradually builds up to more advanced topics. The text begins with a review of the important calculus results, and why and where these ideas play an important role throughout the book. Some of the concepts required for the study of computational mathematics are introduced, and simple approximations using Taylor's Theorem are treated in some depth. The exposition is intended to be lively and "student friendly". Exercises run the gamut from simple hand computations that might be characterized as "starter exercises", to challenging derivations and minor proofs, to programming exercises.
Contents