Small samples with dimensions 30×5 mm or 60×20 mm can be characterized.
However, in our discussion of the racial demographics of particular cities, we will use 2017 ACS estimates, which are much smaller samples with larger margins of error.
The designed method is suitable especially for the determination of the pigments at low concentrations in small samples with appropriate analytical quality.
The full-graded large samples had compressive strength of 10% higher than that of wet-screened small samples, with however a considerable drop in tensile strength.
To resolve the ambiguity and to better understand our patient sample, we compare the power of the two tests by simulation in small samples with piecewise log-logistic and Weibull distributions and with different censoring distributions.
It was suggested that smaller samples with smaller CMT rates might have less chances to be published [117].
The estimations were done using maximum likelihood methods, which is considered one of the most appropriate approaches for small samples with autocorrelated errors [21],[21].
Qualitative studies take an in-depth approach and focus on small samples with the aim of achieving conceptual rather than statistical generalisation [24].
These researches on tourism have traditionally relied on surveys and economic datasets, generally composed of small samples with a low spatio-temporal resolution.
A number of reports show the permeability for very small samples with thicknesses from 0.5 to 20 mm (Lenormand and Fonta 2007; Lenormand et al. 2010), and we used similar small samples for the transport property measurements.
