Elements of Large-Sample Theory:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1999
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Schriftenreihe: | Springer Texts in Statistics
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Elements of Large-Sample Theory provides a unified treatment of first- order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level and is suitable for students at the master's level in statistics and in aplied fields who have a background of two years of calculus. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands, and the University of Chicago. Also available: Lehmann/Casella, Theory at Point Estimation, 2nd ed. Springer-Verlag New York, Inc., 1998, ISBN 0- 387-98502-6 Lehmann, Testing Statistical Hypotheses, 2nd ed. Springer-Verlag New York, Inc., 1997, ISBN 0-387-94919-4 |
Beschreibung: | 1 Online-Ressource (XII, 632 p) |
ISBN: | 9780387227290 9780387985954 |
ISSN: | 1431-875X |
DOI: | 10.1007/b98855 |
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Datensatz im Suchindex
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any_adam_object | |
author | Lehmann, E. L. |
author_facet | Lehmann, E. L. |
author_role | aut |
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discipline | Mathematik |
doi_str_mv | 10.1007/b98855 |
format | Electronic eBook |
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id | DE-604.BV042419086 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:04Z |
institution | BVB |
isbn | 9780387227290 9780387985954 |
issn | 1431-875X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027854503 |
oclc_num | 849910699 |
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physical | 1 Online-Ressource (XII, 632 p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 1999 |
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publisher | Springer New York |
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series2 | Springer Texts in Statistics |
spelling | Lehmann, E. L. Verfasser aut Elements of Large-Sample Theory edited by E. L. Lehmann New York, NY Springer New York 1999 1 Online-Ressource (XII, 632 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X Elements of Large-Sample Theory provides a unified treatment of first- order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level and is suitable for students at the master's level in statistics and in aplied fields who have a background of two years of calculus. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands, and the University of Chicago. Also available: Lehmann/Casella, Theory at Point Estimation, 2nd ed. Springer-Verlag New York, Inc., 1998, ISBN 0- 387-98502-6 Lehmann, Testing Statistical Hypotheses, 2nd ed. Springer-Verlag New York, Inc., 1997, ISBN 0-387-94919-4 Statistics Mathematical statistics Statistical Theory and Methods Statistik Gesetz der großen Zahlen (DE-588)4157077-7 gnd rswk-swf Asymptotische Statistik (DE-588)4203167-9 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf Stichprobe (DE-588)4057502-0 s Asymptotische Statistik (DE-588)4203167-9 s Gesetz der großen Zahlen (DE-588)4157077-7 s 1\p DE-604 https://doi.org/10.1007/b98855 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Lehmann, E. L. Elements of Large-Sample Theory Statistics Mathematical statistics Statistical Theory and Methods Statistik Gesetz der großen Zahlen (DE-588)4157077-7 gnd Asymptotische Statistik (DE-588)4203167-9 gnd Stichprobe (DE-588)4057502-0 gnd |
subject_GND | (DE-588)4157077-7 (DE-588)4203167-9 (DE-588)4057502-0 |
title | Elements of Large-Sample Theory |
title_auth | Elements of Large-Sample Theory |
title_exact_search | Elements of Large-Sample Theory |
title_full | Elements of Large-Sample Theory edited by E. L. Lehmann |
title_fullStr | Elements of Large-Sample Theory edited by E. L. Lehmann |
title_full_unstemmed | Elements of Large-Sample Theory edited by E. L. Lehmann |
title_short | Elements of Large-Sample Theory |
title_sort | elements of large sample theory |
topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Gesetz der großen Zahlen (DE-588)4157077-7 gnd Asymptotische Statistik (DE-588)4203167-9 gnd Stichprobe (DE-588)4057502-0 gnd |
topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Gesetz der großen Zahlen Asymptotische Statistik Stichprobe |
url | https://doi.org/10.1007/b98855 |
work_keys_str_mv | AT lehmannel elementsoflargesampletheory |