Kristian Kleinke & Jost Reinecke 
Applied Multiple Imputation [EPUB ebook] 
Advantages, Pitfalls, New Developments and Applications in R

Dukung

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 Ph D students with a sound basic knowledge of statistics.

€70.93
cara pembayaran
Beli ebook ini dan dapatkan 1 lagi GRATIS!
Bahasa Inggris ● Format EPUB ● ISBN 9783030381646 ● Penerbit Springer International Publishing ● Diterbitkan 2020 ● Diunduh 3 kali ● Mata uang EUR ● ID 8148010 ● Perlindungan salinan Adobe DRM
Membutuhkan pembaca ebook yang mampu DRM

Ebook lainnya dari penulis yang sama / Editor

128,414 Ebooks dalam kategori ini