An Introduction to Bartlett Correction and Bias Reduction / by Gauss M. Cordeiro, Francisco Cribari-Neto

Von:

Cordeiro, Gauss M [aut]

Mitwirkende(r):

Cribari-Neto, Francisco [oth]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerBriefs in Statistics | SpringerLink BücherVerlag: Berlin, Heidelberg ; s.l. : Springer Berlin Heidelberg, 2014Beschreibung: Online-Ressource (XI, 107 p, online resource)ISBN:

9783642552557

Schlagwörter:

Andere physische Formen: 9783642552540 | Druckausg.: An introduction to Bartlett correction and bias reduction. Heidelberg [u.a.] : Springer, 2014. XI, 107 S.MSC: MSC: *62-02 | 62-01 | 62F03 | 62F10 | 62F40RVK: RVK: QH 230 | SK 840 | QH 250LOC-Klassifikation:

QA276-280

DOI: DOI: 10.1007/978-3-642-55255-7Online-Ressourcen:

Inhalte:

Zusammenfassung: Preface -- Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview -- Bartlett Corrections and Bootstrap Testing Inference -- Bartlett-Type Corrections -- Analytical and Bootstrap Bias Corrections -- Supplementary Material -- GlossaryZusammenfassung: This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present alternative strategies for improving estimators and tests based on bootstrap, a data resampling technique, and discuss concrete applications to several important statistical modelsPPN: PPN: 1657910865Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SXMS | ZDB-2-SMA

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