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Boekhandel Douwes Den Haag

Chapman & Hall/CRC Interdisciplinary Statistics

Multiple Imputation of Missing Data in Practice

Basic Theory and Analysis Strategies

Zhang, Guangyu & Hsu, Chiu-Hsieh (Epidemiology and Biostatistics Division, University of Arizona, USA) & He, Yulei

Multiple Imputation of Missing Data in Practice

Chapman & Hall/CRC Interdisciplinary Statistics

Multiple Imputation of Missing Data in Practice

Basic Theory and Analysis Strategies

Chapman & Hall/CRC Interdisciplinary Statistics: Multiple Imputation of Missing Data in Practice

 

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.

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Beschrijving Chapman & Hall/CRC Interdisciplinary Statistics: Multiple Imputation of Missing Data in Practice

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.

ISBN
9781498722063
Pagina's
476
Verschenen
Serie
Chapman & Hall/CRC Interdisciplinary Statistics
NUR
918
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
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