Titre : | Basics of modern mathematical statistics. | Type de document : | texte imprimé | Editeur : | Berlin : Springer | Année de publication : | 2015 | Importance : | 296 p | Présentation : | chiffres et simboles | Format : | 16-24cm | ISBN/ISSN/EAN : | 978-3-642-39908-4 | Langues : | Anglais (eng) | Mots-clés : | The book provides a compact and self-contained introduction to modern mathematical statistics
Includes exercises and solution hints
Presents an overview of the main classical findings in mathematical statistics from a modern viewpoint | Résumé : | This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods. |
Basics of modern mathematical statistics. [texte imprimé] . - Berlin : Springer, 2015 . - 296 p : chiffres et simboles ; 16-24cm. ISBN : 978-3-642-39908-4 Langues : Anglais ( eng) Mots-clés : | The book provides a compact and self-contained introduction to modern mathematical statistics
Includes exercises and solution hints
Presents an overview of the main classical findings in mathematical statistics from a modern viewpoint | Résumé : | This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods. |
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