The effect of the practice of rounding non-integer weights in bootstrapping complex samples from finite populations is investigated by means of an extended simulation study. The extent to which rounding can interfere with basic Bootstrap principles as well as with the formal properties of the final Bootstrap estimates are evaluated. Indications and recommendations on application of this practice are discussed.
Andreis, F., Mecatti, F. (2015). Rounding Non-integer Weights in Bootstrapping Non-iid Samples: Actual Problem or Harmless Practice?. In A.M. Paganoni, P. Secchi (a cura di), Advances in Complex Data Modeling and Computational Methods in Statistics (pp. 17-35). Springer [10.1007/978-3-319-11149-0_2].
Rounding Non-integer Weights in Bootstrapping Non-iid Samples: Actual Problem or Harmless Practice?
Andreis, F
;Mecatti, F
2015
Abstract
The effect of the practice of rounding non-integer weights in bootstrapping complex samples from finite populations is investigated by means of an extended simulation study. The extent to which rounding can interfere with basic Bootstrap principles as well as with the formal properties of the final Bootstrap estimates are evaluated. Indications and recommendations on application of this practice are discussed.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
