Preliminaries -- Monte Carlo methods for statistical inference -- Randomization and data partitioning -- Bootstrap methods -- Tools for identification of structure in data -- Estimation of functions -- Graphical methods in computational statistics -- Estimation of probability density functions using parametric models -- Nonparametric estimation of probability density functions -- Structure in data -- Statistical models of dependencies -- Appendices -- Monte Carlo studies in statistics -- Software for random number generation -- Notation and definitions -- Solutions and hints for selected exercises -- Bibliography -- Author index -- Subject index

1. Statistics -- Data processing