Explore Books on
missing observations (statistics)

Statistical analysis with missing data

By Roderick J. A. Little

The EM algorithm and related statistical models

By Michiko Watanabe

Statistical Methods for Handling Incomplete Data

By Jae Kwang Kim,Jun Shao

Flexible Imputation of Missing Data, Second Edition

By Stef van Buuren

Capture-Recapture Methods for the Social and Medical Sciences

By Dankmar Bohning,Peter G. M. van der Heijden,John Bunge

Deterministic observation theory and applications

By Jean-Paul Gauthier,I. A. K. Kupka

Applied Missing Data Analysis in the Health Sciences

By Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding

Missing and Modified Data in Nonparametric Estimation

By Sam Efromovich

Multiple Imputation in Practice

By Trivellore Raghunathan,Patricia A. Berglund,Peter W. Solenberger

Multiple Imputation of Missing Data in Practice

By Yulei He,Guangyu Zhang,Chiu-Hsieh Hsu

Missing Data Methods

By David M. Drukker

Bayesian missing data problems

By Ming T. Tan

Applied Bayesian modeling and causal inference from incomplete-data perspectives

By Andrew Gelman

Missing data in clinical studies

By Geert Molenberghs,Michael Kenward

Corrupt Research

By Raymond Hubbard

Time series modelling with unobserved components

By Matteo M. Pelagatti

HANDBOOK OF MISSING DATA METHODOLOGY

By Geert Molenberghs,Garrett M. Fitzmaurice,Anastasios A. Tsiatis,Geert Verbeke

Logistic regression with missing values in the covariates

By Werner Vach

Handling missing data

By G. Passerini

Modelling Generalized Linear-loglinear Models for Raters Agreement Measure

By Adebowale Olusola Adejumo

Applied missing data analysis

By Craig K. Enders

The EM algorithm and extensions

By Geoffrey J. McLachlan

Missing data and small-area estimation

By Nicholas T. Longford

The matching methodology

By Prem K. Goel