Statistical Analysis of Missing Data

Author: Little
Publisher:
Publish Date: 2004-09-01
Features: This book is divided into three parts. The first part discusses methods for handling missing value problems in three important statistical fields in history; the second part provides systematic methods for analyzing data with missing values; the third part presents applications of these methods in various aspects, including regression, factor analysis, contingency table analysis, time series, and sampling surveys, among others.