Explore Books on
multiple imputation (statistics)
1-24 of 29 Books
Statistical Methods for Handling Incomplete Data
By Jae Kwang Kim,Jun Shao
Flexible Imputation of Missing Data, Second Edition
Flexible Imputation of Missing Data, Second Edition
By Stef van Buuren
Capture-Recapture Methods for the Social and Medical Sciences
Capture-Recapture Methods for the Social and Medical Sciences
By Dankmar Bohning,Peter G. M. van der Heijden,John Bunge
Analysis of Integrated Data
Analysis of Integrated Data
By Li-Chun Zhang,Raymond L. Chambers
Multiple Imputation of Missing Data in Practice
By Yulei He,Guangyu Zhang,Chiu-Hsieh Hsu
Multiple imputation for nonresponse in surveys
By Donald B. Rubin
Annual design-based estimation for the annualized inventories of forest inventory and analysis
Annual design-based estimation for the annualized inventories of forest inventory and analysis
By Hans T Schreuder
Annual design-based estimation for the annualized inventories of forest inventory and analysis
Annual design-based estimation for the annualized inventories of forest inventory and analysis
By Hans T. Schreuder
Flexible imputation of missing data
By Stef van Buuren
Algorithms for multiple imputation and posterior simulation from incomplete multivariate data with ignorable nonresponse
Algorithms for multiple imputation and posterior simulation from incomplete multivariate data with ignorable nonresponse
By Joseph Louis Schafer
The effects of income imputation on micro analyses
The effects of income imputation on micro analyses
By Cheti Nicoletti
Data estimation and prediction for natural resources public data
Data estimation and prediction for natural resources public data
By Hans T. Schreuder
Data estimation and prediction for natural resources public data
Data estimation and prediction for natural resources public data
By Hans T Schreuder
Transitioning to multiple imputation
Transitioning to multiple imputation
By Rajesh Subramanian
Selection Models For Nonignorable Missing Data (Anwendungsorientierte Statistik, Bd. 8)
Selection Models For Nonignorable Missing Data (Anwendungsorientierte Statistik, Bd. 8)
By SANDRO SCHEID
Statistical methods for handling incomplete data
Statistical methods for handling incomplete data
By Jae Kwang Kim
Price imputation and other techniques for dealing with missing observations, seasonality and quality change in price indices
Price imputation and other techniques for dealing with missing observations, seasonality and quality change in price indices
By Paul A. Armknecht
Imputation in the NASS General Estimates System
Imputation in the NASS General Estimates System
By Terry S. T Shelton
Nested multiple imputations
Nested multiple imputations
By Zijin Shen
Fehlende Daten in Additiven Modellen
Fehlende Daten in Additiven Modellen
By Thomas Nittner,Herausgegeben Helge Toutenburg
Multiple Imputation of Missing Data Using SAS
By Patricia Berglund,Steven G. Heeringa
Significance levels from public use data with multiply-imputed industry codes
Significance levels from public use data with multiply-imputed industry codes
By Leisa Hoit Weld
Large sample significance levels from multiply-imputed data
Large sample significance levels from multiply-imputed data
By Trivellore Eachambadi Raghunathan