Probability for Statisticians:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2000
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Schriftenreihe: | Springer Texts in Statistics
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the author makes at the University of Washington in Seattle are spelled out. The rest of the text provides background, offers different routes that could be pursued in the classroom, ad offers additional material that is appropriate for self-study. Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic funcion presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. The martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage. The author is a professor of Statistics and adjunct professor of Mathematics at the University of Washington in Seattle. He served as chair of the Department of Statistics 1986-- 1989. He received his PhD in Statistics from Stanford University. He is a fellow of the Institute of Mathematical Statistics, and is a former associate editor of the Annals of Statistics |
Beschreibung: | 1 Online-Ressource (XVIII, 586 p) |
ISBN: | 9780387227603 9780387989532 |
ISSN: | 1431-875X |
DOI: | 10.1007/b98901 |
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Datensatz im Suchindex
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
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dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/b98901 |
format | Electronic eBook |
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isbn | 9780387227603 9780387989532 |
issn | 1431-875X |
language | English |
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spelling | Shorack, Galen R. Verfasser aut Probability for Statisticians by Galen R. Shorack New York, NY Springer New York 2000 1 Online-Ressource (XVIII, 586 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the author makes at the University of Washington in Seattle are spelled out. The rest of the text provides background, offers different routes that could be pursued in the classroom, ad offers additional material that is appropriate for self-study. Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic funcion presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. The martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage. The author is a professor of Statistics and adjunct professor of Mathematics at the University of Washington in Seattle. He served as chair of the Department of Statistics 1986-- 1989. He received his PhD in Statistics from Stanford University. He is a fellow of the Institute of Mathematical Statistics, and is a former associate editor of the Annals of Statistics Mathematics Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Mathematik Statistik Statistik (DE-588)4056995-0 gnd rswk-swf Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Wahrscheinlichkeit (DE-588)4137007-7 s Statistik (DE-588)4056995-0 s 1\p DE-604 https://doi.org/10.1007/b98901 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Shorack, Galen R. Probability for Statisticians Mathematics Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Mathematik Statistik Statistik (DE-588)4056995-0 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4137007-7 |
title | Probability for Statisticians |
title_auth | Probability for Statisticians |
title_exact_search | Probability for Statisticians |
title_full | Probability for Statisticians by Galen R. Shorack |
title_fullStr | Probability for Statisticians by Galen R. Shorack |
title_full_unstemmed | Probability for Statisticians by Galen R. Shorack |
title_short | Probability for Statisticians |
title_sort | probability for statisticians |
topic | Mathematics Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Mathematik Statistik Statistik (DE-588)4056995-0 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd |
topic_facet | Mathematics Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Mathematik Statistik Wahrscheinlichkeit |
url | https://doi.org/10.1007/b98901 |
work_keys_str_mv | AT shorackgalenr probabilityforstatisticians |