An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling miss
Statistical analysis with missing data
β Scribed by Roderick J.A. Little, Donald B. Rubin
- Publisher
- Wiley
- Year
- 1987
- Tongue
- English
- Leaves
- 289
- Series
- Wiley series in probability and mathematical statistics. Applied probability and statistics
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. "Statistical Analysis with Missing Data" is a standard reference on missing-data methods.Blending theory and application, authors Roderick Little and Donald Rubin review hist
Praise for the First Edition of Statistical Analysis with Missing Data<p>"An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area."<br>βWilliam E. Strawderman, Rutgers Un
AN UP-TO-DATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS. The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missin
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
Statistical power analysis has revolutionized the ways in which we conduct and evaluate research.Β Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common