Statistical analysis with missing data

by Roderick J. A. Little

Statistics Done Wrong

by Alex Reinhart

Missing data in clinical studies

by Geert Molenberghs, Michael Kenward

Estimation of Stochastic Processes With Missing Observations

by Mikhail Moklyachuk, Maria Sidei

Missing Data Methods

by David M. Drukker

Applied missing data analysis

by Craig K. Enders

Resampling methods for imputing missing observations

by M. S. Srivastava

Testing for autocorrelation with missing observations

by N. E. Savin

The EM algorithm and related statistical models

by Michiko Watanabe

In many cases of actual data analysis in various fields of applications, the data subject to the analysis are not acquir...

Deterministic observation theory and applications

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

In this book, we present a new, general, and complete theory of observability and observation, deriving from our papers ...

Split-Plot Designs

Bayesian missing data problems

by Ming T. Tan

Missing data

by Paul David Allison

Resampling methods for imputing missing observations in regr...

by M. S. Srivastava

Flexible Imputation of Missing Data, Second Edition

by Stef van Buuren

Flexible imputation of missing data

by Stef van Buuren

Missing data

by Patrick E. McKnight, Katherine M. McKnight

HANDBOOK OF MISSING DATA METHODOLOGY

by Geert Molenberghs, Garrett M. Fitzmaurice

Statistical Methods for Handling Incomplete Data

by Jae Kwang Kim, Jun Shao

Missing and Modified Data in Nonparametric Estimation

by Sam Efromovich