영문목차
Contents
Preface vii
Part I Preliminaries
Introduction Part I 3
Mathematical and Statistical Preliminaries 5
Part II Statistical Computing
Introduction Part II 83
Computer Storage and Arithmetic 85
Algorithms and Programming 107
Approximation of Functions and Numerical Quadrature 147
Numerical Linear Algebra 203
Solution of Nonlinear Equations and Optimization 241
Generation of Random Numbers 305
Part III Methods of Computational Statistics
Introduction Part III 335
Graphical Methods in Computational Statistics 337
Tools for Identification of Structure in Data 371
Estimation of Functions 401
Monte Carlo Methods for Statistical Inference 417
Data Randomization, Partitioning, and Augmentation 435
Bootstrap Methods 453
Part IV Exploring Data Density and Relationships
Introduction Part IV 471
Estimation of Probability Density Functions Using Parametric Models 475
Nonparametric Estimation of Probability Density Functions 487
Statistical Models of Dependencies 585
Appendices
Monte Carlo Studies in Statistics 643
Some Important Probability Distributions 657
Notation and Definitions 663
Solutions and Hints for Selected Exercises 677
Bibliography 689
Index 715