The probability-sampling-based framework has dominated survey research because it
provides precise mathematical tools to assess sampling variability. However increasing …

Survey calibration is a widely used method to estimate the population mean or total score of
a target variable, particularly in medical research. In this procedure, auxiliary information …

In a finite population sampling survey, auxiliary information is commonly used to improve the
Horvitz–Thompson estimators and calibration has been extensively used by national …

The calibration method is a convenient means of incorporating auxiliary information when
several parameters must be estimated. This approach has recently been used to develop …

The distribution function is a functional parameter of great interest in many research areas,
such as medicine or economics. Among other properties, it facilitates the estimation of …

Nonparametric and machine learning methods are flexible methods for obtaining accurate
predictions. Nowadays, data sets with a large number of predictors and complex structures …

The calibration method has been widely used to incorporate auxiliary information in the
estimation of various parameters. Specifically, some authors adapted this method to …

Data from a large number of covariates with known population totals are frequently observed
in survey studies. These auxiliary variables contain valuable information that can be …

Model-assisted estimators have attracted a lot of attention in the last three decades. These
estimators attempt to make an efficient use of auxiliary information available at the …

The endogeneity problem arises when the auxiliary variables correlate to the error terms. In
such cases, appropriate instrumental variables ensure efficient estimation. Calibration has …