An accuracy measure (mean squared error, MSE) is necessary when small area estimators
of linear parameters are provided. Even in the case when such estimators arise from the …

An effective approach to detecting anomalous points in a data set is distance-based outlier
detection. This paper describes a simple sampling algorithm to effciently detect distance …

Labour force surveys are conducted to estimate quantities such as the unemployment rate
and the number of people in work. Interest is typically both in estimates at a given time and …

The estimation of population parameters using complex survey data requires careful
statistical modelling to account for the design features. This is further complicated by unit …

Bootstrap algorithms are simple and appealing solutions for variance estimation under a
complex sampling design, however, they must account for the non-iid nature of data …

The family of GREG estimators forms the class of design-based model-assisted estimators.
All GREG estimators utilise auxiliary information via modelling. The classic GREG estimator …

There is a great need for statistical methods for analyzing skewed responses in complex
sample surveys. Quantile regression is a logical option in addressing this problem but is …

In this paper, we describe a bootstrap method to estimate the bias, the variance and the
distribution of the non-parametric Chambers–Dunstan estimator (named the Dorfman–Hall …

We review resampling techniques used for variance estimation in sample surveys under
calibration and imputation of missing values. The techniques considered are based on …

This paper investigates the linearization and bootstrap variance estimation for the Gini
coefficient and the change between Gini indexes at two periods of time. For the one-sample …