Download e-book for iPad: Statistical Analysis with Missing Data (Wiley Series in by Roderick J. A. Little,Donald B. Rubin

compliment for the 1st version of Statistical research with lacking info

"An vital contribution to the utilized data literature.... I provide the ebook excessive marks for unifying and making obtainable a lot of the prior and present paintings during this very important area."
—William E. Strawderman, Rutgers University

"This book...provide[s] attention-grabbing real-life examples, stimulating end-of-chapter workouts, and updated references. it's going to be on each utilized statistician’s bookshelf."
—The Statistician

"The e-book could be studied within the statistical equipment division in each statistical agency."
—Journal of reliable Statistics

Statistical research of information units with lacking values is a pervasive challenge for which common tools are of restricted price. the 1st version of Statistical research with lacking information has been a typical reference on missing-data tools. Now, reflecting huge advancements in Bayesian equipment for simulating posterior distributions, this moment variation by way of stated specialists at the topic deals a completely up to date, reorganized survey of present method for dealing with missing-data problems.

Blending idea and alertness, authors Roderick Little and Donald Rubin assessment old ways to the topic and describe rigorous but easy equipment for multivariate research with lacking values. They then offer a coherent conception for research of difficulties in response to likelihoods derived from statistical versions for the information and the missing-data mechanism and follow the idea to a variety of very important missing-data problems.

The re-creation now enlarges its insurance to include:

• Expanded insurance of Bayesian technique, either theoretical and computational, and of a number of imputation
• Analysis of knowledge with lacking values the place inferences are according to likelihoods derived from formal statistical types for the data-generating and missing-data mechanisms
• Applications of the method in quite a few contexts together with regression, issue research, contingency desk research, time sequence, and pattern survey inference
• Extensive references, examples, and exercises

Amstat News requested 3 evaluation editors to expense their best 5 favourite books within the September 2003 factor. Statistical research With lacking Data was once between these chosen.