Format:
1 Online-Ressource (vii, 92 Seiten)
ISBN:
0898711797
,
9780898711790
Series Statement:
CBMS-NSF Regional conference series in applied mathematics 38
Note:
Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader
,
Includes bibliographical references (s. 91-92)
,
The jackknife estimate of bias -- The jackknife estimate of variance -- Bias of the jackknife variance estimate -- The bootstrap -- The infinitesimal jackknife -- The Delta Method and the influence function -- cross-validation, jackknife and bootstrap -- Balanced repeated replications (half-sampling) -- Random subsampling -- Nonparametric confidence intervals
,
The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples. The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations
Additional Edition:
Erscheint auch als Druck-Ausgabe, Paperback ISBN 0898711797
Additional Edition:
Erscheint auch als Druck-Ausgabe, Paperback ISBN 9780898711790
Language:
English
Subjects:
Economics
,
Mathematics
Keywords:
Nichtparametrische Schätzung
;
Varianzanalyse
;
Bootstrap-Statistik
;
Jackknife-Schätzung
;
Varianz
;
Nichtparametrische Statistik
;
Schätzung
;
Konferenzschrift
DOI:
10.1137/1.9781611970319
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