Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv
Applied Multiple Imputation
- Advantages, Pitfalls, New Developments and Applications in R
Engelsk Paperback
Applied Multiple Imputation
- Advantages, Pitfalls, New Developments and Applications in R
Engelsk Paperback

573 kr
Tilføj til kurv
Sikker betaling
6 - 8 hverdage

Om denne bog
This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master''s and PhD students with a sound basic knowledge of statistics. 

Product detaljer
Sprog:
Engelsk
Sider:
292
ISBN-13:
9783030381660
Indbinding:
Paperback
Udgave:
ISBN-10:
3030381668
Udg. Dato:
1 mar 2021
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
1 mar 2021
Kategori sammenhænge