Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Tapa blanda

Schafer, J.L.

 
9781032477992: Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Tapa blanda
ISBN 10: 1032477997 ISBN 13: 9781032477992
Editorial: Chapman and Hall/CRC, 2023

Sinopsis

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. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

J.L. Schafer

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1032477997
ISBN 13 
9781032477992
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
444
Contacto del fabricante
no disponible
Persona responsable
no disponible