The aim of this book is to give the reader a detailed
introduction to the different approaches to generating multiply
imputed synthetic datasets. It describes all approaches that have
been developed so far, provides a brief history of synthetic
datasets, and gives useful hints on how to deal with real data
problems like nonresponse, skip patterns, or logical constraints.
Each chapter is dedicated to one approach, first describing the... more...