One example, proposed by Nicolas Bernoulli and made famous as the St . Petersburgparadox, involved a bet with an exponentially increasing payoff.
We first consider an example proposed by Lachaux et al. [8] to evaluate T-F coherence.
A Dutch book is constructed against the model in an elaboration of an example proposed by Smets and Kennes.
This example, proposed by Cross and Nute (2001), is supposed to show that even when there might be circumstances where it is appropriate to assert (1), this does not transfer unproblematically to (2).
To illustrate this problem, consider two versions of a dataset as shown in the example proposed by Tzitzikas et al. in Figure 1. Figure 1 Versions K 1 (a) and K 2 (b) of the same dataset [6].
Fast PET image reconstruction algorithms usually use a Line-of-Response (LOR) preprocessing step where the detected raw LOR data are interpolated either to evenly spaced sinogram projection bins or alternatively to a generic projection space as for example proposed by the PET Reconstruction Software Toolkit (PRESTO) [1].
Increasing study sample size (as for example proposed by [26]) increases statistical power, but also dramatically increases study costs and delays study completion.
A tangible example proposed by a majority of stakeholders was the implementation of follow-up telephone interviews into evaluation strategies.
First, we revisit the example proposed by Liquet and Commenges [ 14] on the relationship between cholesterol and dementia [ 16] to provide a framework for our discussion.
The basic designs (in the statistical sense) vary from the informal with no justification of trial size given (see for example, Giralt et al, 1997), to the popular two stage Gehan (1961) design (see for example, Scheithauer et al, 1999) and the more recent designs as, for example, proposed by Simon (1989).
