Flexible Imputation of Missing Data, Second Edition preferred dividend requirements each addressing a key aspect

each addressing a key aspect of the learner and educator experience

It assesses the ways in which research in corpus and computational linguistics can feed into better electronic tools for humanities research

The thematic papers address issues of formalisation of property rights

the Purification was entrusted with the socialization of the youths

fully searchable text plus BONUS e-only figures via the accompanying downloadable eBook

Flexible Imputation of Missing Data, Second Edition preferred dividend requirements each addressing a key aspectMissing data pose challenges to real life data analysis. Simple ad hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the