Book contents
- Frontmatter
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1 Algorithms and Computers
- 2 Computer Arithmetic
- 3 Matrices and Linear Equations
- 4 More Methods for Solving Linear Equations
- 5 Regression Computations
- 6 Eigenproblems
- 7 Functions: Interpolation, Smoothing, and Approximation
- 8 Introduction to Optimization and Nonlinear Equations
- 9 Maximum Likelihood and Nonlinear Regression
- 10 Numerical Integration and Monte Carlo Methods
- 11 Generating Random Variables from Other Distributions
- 12 Statistical Methods for Integration and Monte Carlo
- 13 Markov Chain Monte Carlo Methods
- 14 Sorting and Fast Algorithms
- Author Index
- Subject Index
Preface to the Second Edition
Published online by Cambridge University Press: 01 June 2011
- Frontmatter
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1 Algorithms and Computers
- 2 Computer Arithmetic
- 3 Matrices and Linear Equations
- 4 More Methods for Solving Linear Equations
- 5 Regression Computations
- 6 Eigenproblems
- 7 Functions: Interpolation, Smoothing, and Approximation
- 8 Introduction to Optimization and Nonlinear Equations
- 9 Maximum Likelihood and Nonlinear Regression
- 10 Numerical Integration and Monte Carlo Methods
- 11 Generating Random Variables from Other Distributions
- 12 Statistical Methods for Integration and Monte Carlo
- 13 Markov Chain Monte Carlo Methods
- 14 Sorting and Fast Algorithms
- Author Index
- Subject Index
Summary
In the ten years since the first edition of this book went to press, the field of statistical computing has exploded with innovations in many directions. At one time my goal was to write a comprehensive book on the subject. At this moment, however, my goals for a second edition must be more modest. Because the field has grown so much, the scope of this book has now become the core for a subset of this field. To fill in some gaps in this new core, a few sections have been added (e.g., linear programming) and others have been expanded. Many corrections have been made; I can only hope that just a few errors remain.
A second change in this timespan is the rapid widespread adoption of R in the field of statistics. As language and culture shape each other, my own views on computing have changed from teaching this material using R. Small changes scattered throughout reflect this change in viewpoint. Additionally, most of the demonstrations and examples – all that seemed appropriate – have been translated to R and are available on my Web site for this book (http://www4.stat.ncsu.edu/~monahan/nmos2/toc.html).
Thanks are due to Lauren Cowles of Cambridge University Press for encouraging this second edition. Karen Chiswell deserves recognition for finding numerous typos and providing other corrections. I would like to also thank Jerry Davis and Wendy Meiring for pointing out others. Bruce McCullough provided invaluable feed back, comments, questions, and suggestions.
- Type
- Chapter
- Information
- Numerical Methods of Statistics , pp. xiii - xivPublisher: Cambridge University PressPrint publication year: 2011