Series: Chapman & Hall/CRC Computer Science & Data
Analysis Volume: 5
ISBN: 158488486X
Publication Date: 7/27/2005
Number of Pages: 320
Answers such a need that the field of statistics is already abuzz
with anticipation
Contains numerous code examples as well as the plots that the
examples produce
Offers readers an online resource with all the code and datasets
used in the book as well as future developments
Includes an intro to R graphics that will fill in many of the
gaps that have limited users
Provides base information that will remain current for years to
come
In today's world of statistical computing, R is the program of
choice for tens of thousands of statisticians, which is why R
Graphics is sure to become an instant classic. Considered the
leading expert on the use of R graphics, Murrell gives
statisticians the first complete reference on the R graphical
system. An in-depth text that takes nothing for granted, it helps
both neophytes and seasoned statisticians master the intricacies
of R. No other published volume contains information on R's grid
graphics, and much of the information the author provides is
original material not to be found anywhere else. Ahead of the
curve, this volume defines the direction for the future of
statistical graphical development.
Table of Contents
A Brief Introduction to R. An Introduction to General R Graphic
Features. The "Base" Graphic System of R: Traditional S
Graphics. The Power and Flexibility of Grid Graphics. Building on
Top of the Base of Grid Graphics: Trellis Graphics and New
Graphics Functions.
Series: Mathematical Analysis and Applications
ISBN: 1584884843
Publication Date: 7/27/2005
Number of Pages: 968
Availability: In Stock
Features variety of topics and methods covering a broad spectrum,
from theoretical to applied in a self-contained treatment
Covers recent results on critical point theory, nonlinear
differential operators, and related regularity and comparison
principles
Provides foundations of applied areas such as boundary value
problems, evolution equations, optimization, optimal control, and
mechanics
Includes detailed bibliography and mathematical appendix
Covering a broad range of topics such as measure theory,
functional analysis, and applications of mathematical analysis,
this book features a variety of theoretical and applied methods.
It provides recent results on critical point theory, nonlinear
differential operators, and related regularity and comparison
principles. Foundations of applied areas including boundary value
problems, evolution equations, optimization, optimal control, and
mechanics, are provided in detail. Additional topics present
Hausdorff theory, LeBesgue-Bochner and Sobolev spaces, and the
spectral properties of the p-Laplacian. With a detailed
bibliography and appendix, this is an accessible reference for
graduate students and researchers.
Table of Contents
Hausdorff Measures and Capacity. Lebesgue-Bochner and Sobolev
Spaces. Nonlinear Operators and Young Measures. Smooth and
Nonsmooth Analysis and Variational Principles. Critical Point
Theory. Eigenvalue Problems and Maximum Principles. Fixed Point
Theory.
Series: Chapman & Hall/CRC Applied Mathematics &
Nonlinear Science
ISBN: 1584884436
Publication Date: 12/26/2005
Number of Pages: 320
Introduces stochastic partial differential equations through
physical origins and defines stochastic integers
Provides parabolic-Ito type equations, providing enough
mathematical detail for serious researchers
Includes applications from various fields such as geophysical
forecasting, environmental modeling, and noise impact
This groundbreaking text is the first ever devoted to stochastic
partial differential equations, a topic useful in many fields of
science, statistics, and engineering. It introduces readers to
modeling fluid and other complex physics problems, control
problems, and asymptotic analysis of stochastic PDEs using the
parabolic-Ito class of equations. It also covers stochastic
integrals and existence and uniqueness theorems. Application
examples are drawn from geophysical forecasting, environmental
modeling, turbulence and noise impact, as well as models in
engineering and finance fields. This book provides the
mathematical means needed to deal with complex physics and
engineering problems.
Table of Contents
Introduction to Stochastic Partial Differential Equations.
Stochastic Evolution Equations: Existence and Uniqueness.
Asymptotic Behavior of Solutions. Some Connections to Infinite-Dimensional
Analysis.
Series: Discrete Mathematics and Its Applications
ISBN: 1584884193
Publication Date: 3/15/2006
Number of Pages: 506
Introduces algorithms in a clear, engaging manner while
maintaining mathematical rigor
Includes more than 400 exercises and 200 figures
Promotes a philosophy of efficient algorithm design
Ideal for readers who find other algorithm books overly
technical, The Tao of Algorithms: An Introduction to Algorithms
and Data Structures is engaging and informal, yet maintains
mathematical rigor throughout. Aimed at beginning graduate
students and advanced undergraduate students, it also functions
as a sound reference guide for mathematics and engineering
professionals. It covers data structures and algorithm analysis
and design, includes 200 illustrations, and offers 400 practice
exercises. Each chapter begins with a simple example and general
principles before proceeding to more difficult algorithms. The
author promotes a philosophy of efficient algorithm design for
the practical programmer.
Series: Statistics: Textbooks and Monographs Volume: 183
ISBN: 0824723090
Publication Date: 6/22/2005
Number of Pages: 600
Uses a conversational approach for an easy-to-use and understand
introduction for newcomers
Reflects the advances made in the field over the past decade
since the second edition appeared
Includes new topics on inference, more realistic practice
problems, examples using Minitab?, and a large dose of robust
design philosophy and methods (the Taguchi Approach)
Contains valuable exercises, templates, worksheets, case studies,
and illustrations to enhance the key points
Continuing a best-selling tradition, the third edition of Quality
by Experimental Design uses the same easy-to-read and understand
style that made the previous two editions so successful with both
newcomers and experienced readers. With emphasis on the
philosophy and technique for setting up experiments, the book
allows increased efficiency, timely accomplishment of goals,
visualization through graphical and numerical representation, and
control of the experiment through careful planning. This updated
and expanded edition includes new topics on inference, more
realistic practice problems, examples using Minitab? and a large
dose of robust design philosophy and methods (the Taguchi
Approach).
Table of Contents
Foreword. Preface. How to Use This Book. The Philosophy of
Experimentation. Statistical Experimental Design. Sorting the
Signal from the Noise. The Derivation of Empirical Equations from
Statistically Designed Experiments. Utilization of Empirical
Equations. Statistical Tables. Index.