Asymptotic statistics:
This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and r...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
1998
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| Series: | Cambridge series on statistical and probabilistic mathematics
3 |
| Subjects: | |
| Online Access: | DE-20 Volltext |
| Summary: | This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics |
| Item Description: | Title from publisher's bibliographic system (viewed on 08 Oct 2015) |
| Physical Description: | 1 Online-Ressource (xv, 443 Seiten) |
| ISBN: | 9780511802256 |
| DOI: | 10.1017/CBO9780511802256 |
Staff View
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| 520 | |a This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics | ||
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| dewey-full | 519.5 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik |
| doi_str_mv | 10.1017/CBO9780511802256 |
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| index_date | 2024-07-03T23:39:02Z |
| indexdate | 2024-07-20T07:27:14Z |
| institution | BVB |
| isbn | 9780511802256 |
| language | English |
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| physical | 1 Online-Ressource (xv, 443 Seiten) |
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| publishDate | 1998 |
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| spelling | Vaart, A. W. van der Verfasser aut Asymptotic statistics A.W. van der Vaart Cambridge Cambridge University Press 1998 1 Online-Ressource (xv, 443 Seiten) txt rdacontent c rdamedia cr rdacarrier Cambridge series on statistical and probabilistic mathematics 3 Title from publisher's bibliographic system (viewed on 08 Oct 2015) This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics Mathematical statistics / Asymptotic theory Asymptotische Statistik (DE-588)4203167-9 gnd rswk-swf Asymptotische Statistik (DE-588)4203167-9 s DE-604 Erscheint auch als Druck-Ausgabe 9780521496032 Erscheint auch als Druck-Ausgabe 9780521784504 https://doi.org/10.1017/CBO9780511802256 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Vaart, A. W. van der Asymptotic statistics Mathematical statistics / Asymptotic theory Asymptotische Statistik (DE-588)4203167-9 gnd |
| subject_GND | (DE-588)4203167-9 |
| title | Asymptotic statistics |
| title_auth | Asymptotic statistics |
| title_exact_search | Asymptotic statistics |
| title_exact_search_txtP | Asymptotic statistics |
| title_full | Asymptotic statistics A.W. van der Vaart |
| title_fullStr | Asymptotic statistics A.W. van der Vaart |
| title_full_unstemmed | Asymptotic statistics A.W. van der Vaart |
| title_short | Asymptotic statistics |
| title_sort | asymptotic statistics |
| topic | Mathematical statistics / Asymptotic theory Asymptotische Statistik (DE-588)4203167-9 gnd |
| topic_facet | Mathematical statistics / Asymptotic theory Asymptotische Statistik |
| url | https://doi.org/10.1017/CBO9780511802256 |
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