| Titre : |
Computational statistics |
| Type de document : |
livre |
| Auteurs : |
Givens, G.H ; Hoeting, J.A. |
| Editeur : |
Hoboken, New Jersey, USA : Wiley |
| Année de publication : |
2005 |
| Collection : |
Wiley series in probability and statistics |
| Importance : |
418 p. |
| ISBN/ISSN/EAN : |
978-0-471-46124-1 |
| Note générale : |
The datasets discussed in the text and problems are available from the book website www.stat.colostate.edu/computationalstatistics/ |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Data processing Statistics |
| Résumé : |
This expert teaching aid enables readers to develop a multi-faceted and thorough comprehension of modern statistical computing and computational statistics. Backed by many years of classroom experience, the authors lay out a practical understanding of how and why current statistical methods work. The text begins with an essential review of key mathematical and statistical principles. Following this, the text emphasizes those areas that are central to understanding this evolving field and areas where routine application of software often fails to solve complex problems. Additional features include problem sets, datasets, and references on advanced topics. Providing readers with a thorough understanding of contemporary statistical techniques, this text enables readers to apply these methods effectively and to better understand and solve real-life problems. [Résumé éditeur] |
| En ligne : |
http://www.loc.gov/catdir/enhancements/fy0627/2005297238-t.html |
Computational statistics [livre] / Givens, G.H ; Hoeting, J.A. . - Hoboken, New Jersey, USA : Wiley, 2005 . - 418 p.. - ( Wiley series in probability and statistics) . ISBN : 978-0-471-46124-1 The datasets discussed in the text and problems are available from the book website www.stat.colostate.edu/computationalstatistics/ Langues : Anglais ( eng)
| Mots-clés : |
Data processing Statistics |
| Résumé : |
This expert teaching aid enables readers to develop a multi-faceted and thorough comprehension of modern statistical computing and computational statistics. Backed by many years of classroom experience, the authors lay out a practical understanding of how and why current statistical methods work. The text begins with an essential review of key mathematical and statistical principles. Following this, the text emphasizes those areas that are central to understanding this evolving field and areas where routine application of software often fails to solve complex problems. Additional features include problem sets, datasets, and references on advanced topics. Providing readers with a thorough understanding of contemporary statistical techniques, this text enables readers to apply these methods effectively and to better understand and solve real-life problems. [Résumé éditeur] |
| En ligne : |
http://www.loc.gov/catdir/enhancements/fy0627/2005297238-t.html |
|  |
Computational statistics (2005)
