A main limitation for a clear definition of the sample, which is analysed, is the purity of it.
Some of the most important design factors include consideration of the study's purpose; degree of experimental manipulation, controls, and replication; selection of an efficient yet unbiased sampling scheme; definition of the sample unit; calculation of sample size requirements; identification and removal of sources of bias; and clear specification of biological significance.
A number of variations of these functions that differ by the way of definition of the sampled distance and reference points, which can be distance between centers of the particles, between boundaries of the particles, between arbitrary points in RVE and particle's center.
Further analysis on this topic seems deserved, not only to further check robustness of results with respect to the measurement of fiscal policy, the specification of empirical equations, and the definition of the sample, but also to better qualify results in terms of which EPL policy settings matter most in driving results.
Recently, Parvin used a worst case of measurement error scenario estimation of the number of the samples nonconforming the quality specifications to propose a definition of the sampling time interval [8].
The definition of the sample is shown in Table 1.
The definition of the sample for the QL analysis is shown in Table 1.
From the outset, the team also agreed that a clear definition of the sample was an important contextual factor.
A side benefit of the method presented here is the sound definition of the sample variance, also called the Fréchet variance, which is simply given as the value of the minimization problem with the squared distance.
Various definitions of the sample volume (SV) shape have been proposed, but they are mostly based on transducers with axisymmetrical geometry.
