Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by J.L. Schafer
English | Aug 1, 1997 | ISBN: 0412040611 | 514 Pages | PDF | 6 MB
English | Aug 1, 1997 | ISBN: 0412040611 | 514 Pages | PDF | 6 MB
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis.