Missing observations (Statistics)

Applied missing data analysis / by: (Language materials, printed)

Bayesian missing data problems :EM, data augmentation and noniterative computation / by: (Language materials, printed)

Missing dataanalysis and design / by: (Electronic resources)

Missing data in longitudinal studiesstrategies for Bayesian modeling and sensitivity analysis / by: (Electronic resources)

Bayesian missing data problemsEM, data augmentation and noniterative computation / by: (Electronic resources)

Missing data methodscross-sectional methods and applications / by: (Electronic resources)

Flexible imputation of missing data / by: (Language materials, printed)

Statistical methods for handling incomplete data / by: (Language materials, printed)

Logistic regression with missing values in the covariates / by: (Language materials, printed)

Multiple imputation and its application by: (Language materials, printed)

Handbook of missing data methodology / by: (Language materials, printed)

Flexible imputation of missing data / by: (Language materials, printed)

Missing and modified data in nonparametric estimation :with R examples / by: (Language materials, printed)

Multiple imputation in practice :with examples using IVEware / by: (Language materials, printed)

Estimation of stochastic processes with missing observations / by: (Language materials, printed)

Flexible imputation of missing data by: (Electronic resources)

Missing data analysis in practice by: (Electronic resources)

Computational reconstruction of missing data in biological research by: (Electronic resources)

Dark datawhy what you don't know matters / by: (Electronic resources)

Multiple imputation in practicewith examples using IVEware / by: (Electronic resources)

Bayesian nonparametric methods for missing data and causal inference / by: (Language materials, printed)