Elements of Large-Sample Theory:
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Bibliographische Detailangaben
Beteilige Person: Lehmann, E. L. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: New York, NY Springer New York 1999
Schriftenreihe:Springer Texts in Statistics
Schlagwörter:
Links:https://doi.org/10.1007/b98855
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
Umfang:1 Online-Ressource (XII, 632 p)
ISBN:9780387227290
9780387985954
ISSN:1431-875X
DOI:10.1007/b98855