The most common way for treating item non‐response in surveys is to construct one or more
replacement values to fill in for a missing value. This process is known as imputation. We …

Abstract The Population Census is an important source of statistical information in most
countries that is capable of producing reliable estimates of population characteristics for …

Item non‐response in surveys occurs when some, but not all, variables are missing.
Unadjusted estimators tend to exhibit some bias, called the non‐response bias, if the …

Aims: The social/environmental context of youth is important for mental, emotional, and
behavioral (MEB) health. This study used person‐oriented methods to examine the …

Developing finite population estimators of parameters such as mean, variance, and
asymptotic mean squared error has been one of the core objectives of sample survey theory …

Multiple imputation (MI) is invented by Rubin in 1970's. He recommends to create
imputations through a Bayesian process. Most software's are respectively following …

When sample surveys are clustered and subject to non-response, it is possible to study
cluster-level association between response rates and cluster-level quantities derived from …

Imputation is a common method for replacing a missing value with one or more fabricated
values. The terminology and methodology of imputation is often confusing because no …

Developing finite population estimators of parameters such as mean, variance, and
asymptotic mean squared error has been one of the core objectives of sample survey theory …

This chapter considers imputation methods for single variables. Naturally, it may be
necessary to impute the values of several variables in each dataset and to carry out several …