| Description |
1 online resource (495 pages) |
| Series |
Chapman & Hall/CRC Computer Science & Data Analysis |
|
Chapman & Hall/CRC Computer Science & Data Analysis
|
| Contents |
Front Cover; Dedication; Contents; Preface; The Authors; List of Algorithms; Notation; Chapter 1 -- Introduction; Chapter 2 -- Computation; Chapter 3 -- Verification; Chapter 4 -- Iteration; Chapter 5 -- Deduction of Theoretical Properties; Chapter 6 -- Randomization; Chapter 7 -- Repetition; Chapter 8 -- Scalability and Parallelization; Bibliography; Back Cover |
| Summary |
"" ... it provides the necessary skills to construct statistical algorithms and hence to contribute to statistical computing. And I wish I had the luxury to teach from Foundations of Statistical Algorithms to my graduate students ... a rich book that should benefit a specific niche of statistical graduates and would-be-statisticians, namely those ready to engage into serious statistical programming. It should provide them with the necessary background, out of which they should develop their own tools.""--Christian Robert on his blog, February 2014""The book is suitable for readers who not only want |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Statistics -- Data processing.
|
|
Algorithms.
|
|
Computer algorithms.
|
|
algorithms.
|
|
Computer algorithms.
|
|
Algorithms.
|
|
Statistics -- Data processing.
|
| Form |
Electronic book
|
| Author |
Mersmann, Olaf
|
|
Ligges, Uwe
|
| ISBN |
9781439878873 |
|
1439878870 |
|
9781322612645 |
|
1322612641 |
|
