Holdings: Applied multiple imputation

Applied multiple imputation: advantages, pitfalls, new developments and applications in R

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Bibliographic Details
Main Authors:	Kleinke, Kristian (Author), Reinecke, Jost 1957- (Author), Salfrán, Daniel (Author), Spieß, Martin 1960- (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer [2020]
Series:	Statistics for social and behavioral sciences
Subjects:	Statistics for Social Sciences, Humanities, Law Psychological Methods/Evaluation Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics Psychology—Methodology Psychological measurement Imputationstechnik R > Programm Fehlende Daten
Online Access:	BTU01 FHN01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext Buchcover
Physical Description:	1 Online-Ressource (xi, 292 Seiten) Illustrationen
ISBN:	9783030381646
ISSN:	2199-7357
DOI:	10.1007/978-3-030-38164-6

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Record in the Search Index

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isbn	9783030381646
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language	English
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series2	Statistics for social and behavioral sciences
spellingShingle	Kleinke, Kristian Reinecke, Jost 1957- Salfrán, Daniel Spieß, Martin 1960- Applied multiple imputation advantages, pitfalls, new developments and applications in R Statistics for Social Sciences, Humanities, Law Psychological Methods/Evaluation Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics Psychology—Methodology Psychological measurement Imputationstechnik (DE-588)4609617-6 gnd R Programm (DE-588)4705956-4 gnd Fehlende Daten (DE-588)4264715-0 gnd
subject_GND	(DE-588)4609617-6 (DE-588)4705956-4 (DE-588)4264715-0
title	Applied multiple imputation advantages, pitfalls, new developments and applications in R
title_auth	Applied multiple imputation advantages, pitfalls, new developments and applications in R
title_exact_search	Applied multiple imputation advantages, pitfalls, new developments and applications in R
title_full	Applied multiple imputation advantages, pitfalls, new developments and applications in R Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess
title_fullStr	Applied multiple imputation advantages, pitfalls, new developments and applications in R Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess
title_full_unstemmed	Applied multiple imputation advantages, pitfalls, new developments and applications in R Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess
title_short	Applied multiple imputation
title_sort	applied multiple imputation advantages pitfalls new developments and applications in r
title_sub	advantages, pitfalls, new developments and applications in R
topic	Statistics for Social Sciences, Humanities, Law Psychological Methods/Evaluation Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics Psychology—Methodology Psychological measurement Imputationstechnik (DE-588)4609617-6 gnd R Programm (DE-588)4705956-4 gnd Fehlende Daten (DE-588)4264715-0 gnd
topic_facet	Statistics for Social Sciences, Humanities, Law Psychological Methods/Evaluation Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics Psychology—Methodology Psychological measurement Imputationstechnik R Programm Fehlende Daten
url	https://doi.org/10.1007/978-3-030-38164-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031863907&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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