| Series |
Statistics and computing
Statistics and computing.
|
| Contents |
Pt. I, Preliminaries. Mathematical and statistical preliminaries -- Pt. II, Statistical computing. Computer storage and arithmetic ; algorithm and programming ; Approximation of functions and numerical quadrature ; Numerical linear algebra ; Solution of nonlinear equations and optimization ; Generation of random numbers -- Pt. III, Methods of computational statistics. Graphical methods in computational statistics ; Tools for identification of structure in data ; Estimation of functions ; Monte Carlo methods for statistical inference ; Data randomization, partitioning, and augmentation ; Bootstrap methods -- Pt. IV, Exploring data density and relationships. Estimation of probability density functions using parametric models ; Nonparametric estimation of probability density functions ; Statistical learning and data mining ; Statistical models of dependencies. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2009929633 |
| ISBN | 9780387981437 (hbk. : alk. paper) |
| ISBN | 0387981438 (hbk. : alk. paper) |
