Statistical Analysis with Missing Data

by Roderick J.A. Little

Acknowledged experts on the subject bring together diverse sources on methods for statistical analysis of data sets with missing values, a pervasive problem for which standard methods are of limited value. Blending theory and application, it reviews historical approaches to the subject, and rigorous yet

Genres: Nonfiction

462 pages, Hardcover

First published April 1, 1987

Reviews

[An Te · Rating 3 out of 5]

Well, what you see is what you get! Very comprehensive presentation on all things statistical and how to handle missing data. Useful for understanding and applying single and multiple imputation. A comprehensive text. Recommended.

[Abrar · Rating 4 out of 5]

A very good book for how to deal with missing data in a different ways.

[Rajesh Rana]

this is best for studying !!!!!!!!!