The present study discusses two problems with statistical significance testing (i.e., tautology and violation of statistical assumptions) that require supplemental analysis. The bootstrap method is presented as a form of internal replication to learn about the consistency of and augment the findings from statistical significance tests in many criminal justice and criminology research findings. ...

The approximate Bayesian bootstrap is suggested by Rubin & Schenker (1986) as a way of generating multiple imputations when the original sample can be regarded as independently and identically distributed and the response mechanism is ignorable. We investigate the finite sample properties of the variance estimator when the approximate Bayesian bootstrap method is used and show that the bias is ...

Local grammars have been used to describe a wide variety of sets of strings (M. Gross 1989 ; E. Roche, Y. Schabes 1997 ; W.A. Woods 1970), ranging from finite sets of words related by prefixation and suffixation (figure 1) to sets of sentences syntactically and semantically related (figures 2a and 2b). Formal representations of finite-state grammars are quite varied, although equivalent. As can...

In this paper, we examine the validity of non-parametric spatial bootstrap as a procedure to quantify errors in estimates of N -point correlation functions. We do this by means of a small simulation study with simple point process models and estimating the two-point correlation functions and their errors. The coverage of confidence intervals obtained using bootstrap is compared with those obtai...