ISBN: 0-471-47129-1
Paperback
586 pages
August 2003
Description
The Wiley-Interscience Paperback Series consists
of selected
books that have been made more accessible
to consumers in an
effort to increase global appeal and general
circulation. With
these new unabridged softcover volumes, Wiley
hopes to extend the
lives of these works by making them available
to future
generations of statisticians, mathematicians,
and scientists.
From the Reviews of History of Probability
and Statistics and
Their Applications before 1750
"This is a marvelous book . . . Anyone
with the slightest
interest in the history of statistics, or
in understanding how
modern ideas have developed, will find this
an invaluable
resource."
?Short Book Reviews of ISI
Table of Contents
1. The Book and Its Relation to Other Works.
2. A Sketch of the Background in Mathematics
and Natural
Philosophy.
3. Early Concepts of Probability and Chance.
4. Cardano and Liber de Ludo Aleae, c. 1565.
5. The Foundation of Probability Theory by
Pascal and Fermat in
1654.
6. Huygens and De Ratiociniis in Ludo Aleae,
1657.
7. John Graunt and the Observations Made
upon the Bills of
Mortality, 1662.
8. The Probabilistic Interpretation of Graunt's
Life Table.
9. The Early History of Life Insurance Mathematics.
10. Mathematical Models and Statistical Methods
in Astronomy from
Hipparchus to Kepler and Galileo.
11. The Newtonian Revolution in Mathematics
and Science.
12. Miscellaneous Contributions Between 1657
and 1708.
13. The Great Leap Forward, 1708 - 1718:
A Survey.
14. New Solutions to Old Problems, 1708 -
1718.
15. James Bernoulli and Ars Conjectandi,
1713.
16. Bernoulli's Theorem.
17. Tests of Significance Based on the Sex
Ratio at Birth and the
Binomial Distribution, 1712 - 1713.
18. Montmort and the Essay d'Analyse sur
les Jeux de Hazard, 1708
and 1713.
19. The Problem of Coincidences and the Compound
Probability
Theorem.
20. The Problems of the Duration of Play,
1708?1718.
21. Nicholas Bernoulli.
22. De Moivre and the Doctrine of Chances,
1718, 1738, and 1756.
23. The Problem of the Duration of Play and
the Method of
Difference Equations.
24. De Moivre's Normal Approximation to the
Binomial
Distribution, 1733.
25. The Insurance Mathematics of de Moivre
and Simpson, 1725-1756.
References.
Index.
ISBN: 0-471-47134-8
Paperback
569 pages
September 2003
Description
From the Reviews of A Userfs Guide to Principal
Components
"The book is aptly and correctly named?A
Userfs Guide. It
is the kind of book that a user at any level,
novice or skilled
practitioner, would want to have at hand
for autotutorial, for
refresher, or as a general-purpose guide
through the maze of
modern PCA."
?Technometrics
"I recommend A Userfs Guide to Principal
Components to
anyone who is running multivariate analyses,
or who contemplates
performing such analyses. Those who write
their own software will
find the book helpful in designing better
programs. Those who use
off-the-shelf software will find it invaluable
in interpreting
the results."
?Mathematical Geology
Table of Contents
Preface.
Introduction.
1. Getting Started.
2. PCA with More Than Two Variables.
3. Scaling of Data.
4. Inferential Procedures.
5. Putting It All Together?Hearing Loss I.
6. Operations with Group Data.
7. Vector Interpretation I : Simplifications
and Inferential
Techniques.
8. Vector Interpretation II: Rotation.
9. A Case History?Hearing Loss II.
10. Singular Value Decomposition: Multidimensional
Scaling I.
11. Distance Models: Multidimensional Scaling
II.
12. Linear Models I : Regression; PCA of
Predictor Variables.
13. Linear Models II: Analysis of Variance;
PCA of Response
Variables.
14. Other Applications of PCA.
15. Flatland: Special Procedures for Two
Dimensions.
16. Odds and Ends.
17. What is Factor Analysis Anyhow?
18. Other Competitors.
Conclusion.
Appendix A. Matrix Properties.
Appendix B. Matrix Algebra Associated with
Principal Component
Analysis.
Appendix C. Computational Methods.
Appendix D. A Directory of Symbols and Definitions
for PCA.
Appendix E. Some Classic Examples.
Appendix F. Data Sets Used in This Book.
Appendix G. Tables.
Bibliography.
Author Index.
Subject Index.
ISBN: 0-471-47135-6
Paperback
768 pages
September 2003
Description
From the Reviews of Nonlinear Regression
"A very good book and an important one
in that it is likely
to become a standard reference for all interested
in nonlinear
regression; and I would imagine that any
statistician concerned
with nonlinear regression would want a copy
on his shelves."
?The Statistician
"Nonlinear Regression also includes
a reference list of over
700 entries. The compilation of this material
and cross-referencing
of it is one of the most valuable aspects
of the book. Nonlinear
Regression can provide the researcher unfamiliar
with a
particular specialty area of nonlinear regression
an introduction
to that area of nonlinear regression and
access to the
appropriate references . . . Nonlinear Regression
provides by far
the broadest discussion of nonlinear regression
models currently
available and will be a valuable addition
to the library of
anyone interested in understanding and using
such models
including the statistical researcher."
?Mathematical Reviews
Table of Contents
1. Model Building.
2. Estimation Methods.
3. Commonly Encountered Problems.
4. Measures of Curvature and Nonlinearity.
5. Statistical Inference.
6. Autocorrelated Errors.
7. Growth Models.
8. Compartmental Models.
9. Multiphase and Spline Regressions.
10. Errors-In-Variables Models.
11. Multiresponse Nonlinear Models.
12. Asymptotic Theory.
13. Unconstrained Optimization.
14. Computational Methods for Nonlinear Least
Squares.
15. Software Considerations.
Appendix A. Vectors and Matrices
Appendix B. Differential Geometry.
Appendix C. Stochastic Differential Equations.
Appendix D. Multiple Linear Regression.
Appendix E. Minimization Subject to Linear
Constraints.
References.
Author Index.
Subject Index.
ISBN: 0-471-49548-4
Hardcover
206 pages
November 2003
Description
Everyday we face decisions that carry an
element of risk and
uncertainty. The ability to analyse, communicate
and control the
level of risk entailed by these decisions
remains one of the most
pressing challenges to the analyst, scientist
and manager. This
book presents the foundational issues in
risk analysis
expressing risk, understanding what risk
means, building risk
models, addressing uncertainty, and applying
probability models
to real problems. The principal aim of the
book is to give the
reader the knowledge and basic thinking they
require to approach
risk and uncertainty to support decision
making.
Presents a statistical framework for dealing
with risk and
uncertainty.
Includes detailed coverage of building and
applying risk models
and methods.
Offers new perspectives on risk, risk assessment
and the use of
parametric probability models.
Highlights a number of applications from
business and industry.
Adopts a conceptual approach based on elementary
probability
calculus and statistical theory.
Foundations of Risk Analysis provides a framework
for
understanding, conducting and using risk
analysis suitable for
advanced undergraduates, graduates, analysts
and researchers from
statistics, engineering, finance, medicine
and the physical
sciences, as well as for managers facing
decision making problems
involving risk and uncertainty.
Table of Contents
ISBN: 0-471-46945-9
Hardcover
270 pages
January 2004
Description
Arithmetic and Logic in Computer Systems
provides a useful guide
to a fundamental subject of computer science
and engineering.
Algorithms for performing operations like
addition, subtraction,
multiplication, and division in digital computer
systems are
presented, with the goal of explaining the
concepts behind the
algorithms, rather than addressing any direct
applications.
Alternative methods are examined, and explanations
are supplied
of the fundamental materials and reasoning
behind theories and
examples.
No other current books deal with this subject,
and the author is
a leading authority in the field of computer
arithmetic. The text
introduces the Conventional Radix Number
System and the Signed-Digit
Number System, as well as Residue Number
System and Logarithmic
Number System. This book serves as an essential,
up-to-date guide
for students of electrical engineering and
computer and
mathematical sciences, as well as practicing
engineers and
computer scientists involved in the design,
application, and
development of computer arithmetic units.
Table of Contents
Preface.
About the Author.
1. Computer Number Systems.
2. Addition and Subtractions.
3. High-Speed Adder.
4. Sequential Multiplication.
5. Parallel Multiplication.
6. Sequential Division.
7. Fast Array Dividers.
8. Floating Point Operations.
9. Residue Number Operations.
10. Operations through Logarithms.
11. Signed-Digit Number Operations.
Index.