ISBN: 0-471-32672-0
Hardcover
768 Pages
July 2003
Description
Comprehensive and thorough development of
both probability and
statistics for serious computer scientists;
goal-oriented: "to
present the mathematical analysis underlying
probability results"
Special emphases on simulation and discrete
decision theory
Mathematically-rich, but self-contained text,
at a gentle pace
Review of calculus and linear algebra in
an appendix
Mathematical interludes (in each chapter)
which examine
mathematical techniques in the context of
probabilistic or
statistical importance
Numerous section exercises, summaries, historical
notes, and
Further Readings for reinforcement of content
Table of Contents
Preface.
Combinatorics and Probability.
Discrete Distributions.
Simulation.
Discrete Decision Theory.
Probability on the Real Line.
Continuous Distributions.
Parameter Estimation.
Appendix A. Analytical Tools.
Appendix B. Statistical Tables.
ISBN: 0-471-26296-X
Hardcover
508 Pages
July 2003
Description
Updating and expanding upon the successful
First Edition of
Combinatorics, this new edition provides
the foundation for
mastering combinatorics. Blending an engaging
style with
mathematical rigor, Professor Merris provides
a uniquely flexible
tool for a wide variety of approaches to
combinatorics. After
covering the basics in the first two chapters,
the structure of
the book allows instructors to customize
courses by selecting
chapters and topics according to their own
course needs.
This edition features added explanations,
examples, algorithms,
and illustrations to enhance the exposition
of the text, plus:
Well-written text that combines an engaging
style with
mathematical rigor
Expanded sections on algebraic coding theory;
locally finite
posets and their incidence algebras; distributive
lattices and
their order ideals; Young's Lattice; and
the theory and
applications of majorization
Independent chapters that allow maximum flexibility
to
instructors
A lucid, accessible explanation of Polya's
theory
Table of Contents
Introduction to Privacy.
Internet Security.
The World Wide Web.
Privacy and the Internet.
Platform for Privacy Preferences Project.
Enhance Your Web Site's Privacy.
Five Steps to Create a Privacy Policy.
Privacy Policy in English.
Privacy Policy Using P3P.
Cookies and P3P.
User-Agents and other P3P Tools.
P3P and the Mobile Internet.
Appendix A. An XML Tutorial.
Appendix B. Taking Charge of Profile Information
Conveyance.
Appendix C. A P3P Use Case.
Appendix D. Positional Privacy Using P3P
and LIF Formats.
ISBN: 0-471-45505-9
Hardcover
312 Pages
August 2003
Description
Each topic starts with an explanation of
the theoretical
background necessary to allow full understanding
of the technique
and to facilitate future learning of more
advanced or new methods
and software
Explanations are designed to assume as little
background in
mathematics and statistical theory as possible,
except that some
knowledge of calculus is necessary for certain
parts.
SAS commands are provided for applying the
methods. (PROC REG,
PROC MIXED, and PROC GENMOD)
All sctions contain real life examples, mostly
from epidemiologic
research
First chapter includes a SAS refresher
Table of Contents
Preface.
Acknowledgments.
Acronyms.
Introduction.
Review of Ordinary Linear Regression and
its Assumptions.
The Maximum Likelihood Approach to Ordinary
Regression.
Reformulating Ordinary Regression Analysis
in Matrix Notation.
Variance Matrices and Linear Transformations.
Variance Matrices of Estimators of Regression
Coefficients.
Dealing with Unequal Variance Around the
Regression Line.
Application of Weighting with Probability
Sampling and Non-response.
Principles in Dealing with Correlated Data.
A Further Study of How the Transformation
Works with Correlated
Data.
Random Effects.
The Normal Distribution and Likelihood Revisited.
The Generalization of Non-Normal Distributions.
Modeling Binomial and Binary Outcomes.
Modeling Poisson Outcomes-The Analysis of
Rates.
Modeling Correlated Outcomes with Generalized
Estimating
Equations.
References.
ISBN: 0-471-38926-9
Hardcover
450 Pages
August 2003
Description
This volume provides an up-to-date coverage
of the theory and
applications of ordered random variables
and their functions.
Furthermore, it develops the distribution
theory of OS
systematically.
Applications include procedures for the treatment
of outliers and
other data analysis techniques.
Even when chapter and section headings are
the same as in OSII,
there are appreciable changes, mostly additions,
with some
obvious deletions. Parts of old Ch. 7, for
example, are prime
candidates for omission.
Appendices are designed to help collate tables,
computer
algorithms, and software, as well as to compile
related
monographs on the subject matter.
Extensive exercise sets will continue, many
of them replaced by
newer ones.
Table of Contents
Preface.
Introduction.
Basic Distribution Theory.
Expected Values and Moments.
Bounds and Approximations for Moments of
Order Statistics.
The NON-IID Case.
Further Distribution Theory.
Order Statistics in Nonparametric Inference.
Short-Cut Procedures.
Asymptotic Theory.
Asymptotic esults for Functions of Order
Statistics.
Appendix: Guide to Tables and Algorithms.
References.
Index.