The organisation of a design of experiments, for example, for the realisation of a clinical trial,
is crucial. It is often desirable to balance designs so that the means of the covariates are …

The R language is a free software environment for statistical computing and graphics. This
software is complemented by almost 2000 packages developed by researchers. R is thus …

For many designs, there is a nonzero probability of selecting a sample that provides poor
estimates for known quantities. Stratified random sampling reduces the set of such possible …

A balanced sampling design is defined by the property that the Horvitz–Thompson
estimators of the population totals of a set of auxiliary variables equal the known totals of …

The cube method allows the selection of balanced samples on several auxiliary variables
with equal or unequal inclusion probabilities. Practical implementation of the cube method …

Sample size calculations for a continuous outcome require specification of the anticipated
variance; inaccurate specification can result in an underpowered or overpowered study. For …

Field experiments embedded in ongoing sample surveys are highly appropriate to
investigate possible improvements of a sample survey process. In many practical situations …

Statistical methodology of experimental designs provides a powerful instrument for research
on the improvement of the sample survey process. Large-scale field experiments embedded …

The efficiency of observational studies may be increased by applying multistage sampling
designs. It is, however, not always transparent how to construct such a design to obtain …

Elements of Sampling Theory), there have twice been major changes to this book. In 1991
the expanded second edition included new developments such as the treatment of non …