In this study, we examined the effect of extent, sample size, sampling design, and calculation method on variogram estimation of throughfall data.
The new procedure was applied on three different marble samples and outcomes are encouraging, but further testing is running to better understand to what extent sample size can be reduced without worsening accuracy of results, taking into account that stone is a very heterogeneous material.
Therefore we assume, to a certain extent, sample degeneration after repetitive scans [ 34, 35].
Furthermore, cell phenotype on the surface of sample A and, to a lower extent, sample D, resembles to that of cells attached to a substrate.
So the informativeness of the result is here determined by the nature and extent (sample size) of the sequence data analysed, not by the algorithm itself.
The estimated conditional Type I error probabilities are summarized in Table 1 (right): For exponential samples, only a negligible tendency towards conservative decisions was observed, but samples from the uniform distribution, and, to a lesser extent, samples from the normal distribution proved problematic.
It arises from carrier frequency offsets (CFOs), from the Doppler spread due to channel time-variation and, to a lesser extent, from sampling frequency offsets (SFOs).
The use of an EWP to sample from the Australian population, and the likely extent of sampling bias, have been described previously [ 38, 39].
We found that the geometric-Poisson approximation deviated from the empirical distribution to the greatest extent when sampling occurred shortly after infection with a clonal inoculum.
