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|a 9783642552557
|9 978-3-642-55255-7
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|a 10.1007/978-3-642-55255-7
|2 doi
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|a Cordeiro, Gauss M.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a An Introduction to Bartlett Correction and Bias Reduction
|h [electronic resource] /
|c by Gauss M. Cordeiro, Francisco Cribari-Neto.
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|a 1st ed. 2014.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a XI, 107 p.
|b online resource.
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|a text
|b txt
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|a text file
|b PDF
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|a SpringerBriefs in Statistics,
|x 2191-5458
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|a 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 -- Glossary.
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|a 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 models.
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|a Statistics .
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|a Econometrics.
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|a Statistical Theory and Methods.
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|a Econometrics.
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|a Statistics in Business, Management, Economics, Finance, Insurance.
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|a Cribari-Neto, Francisco.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642552564
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|i Printed edition:
|z 9783642552540
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|a SpringerBriefs in Statistics,
|x 2191-5458
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|u https://doi.uam.elogim.com/10.1007/978-3-642-55255-7
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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