Sentence examples for size equivalence from inspiring English sources
The model allows for investigation into the effects of particle size, equivalence ratio, and chemical kinetics on the burning characteristics and flame structures of aluminum-particle/air mixtures.
The model is used for studying the effects of the particle size, equivalence ratio, and chemical kinetics on the burning characteristics of aluminum-particle/steam mixtures.
In this study, we are simulating the turbulent combustion of a mixed bluff-body swirl stabilized flame in a gas turbine combustion chamber and investigating the effects of different parameters, including the swirl number, distance between the air and fuel nozzle which is called bluff size, equivalence ratio, inlet fuel flow rate, and the inlet air velocity, on the entropy generation.
We used confidence intervals for hypothesis testing; they could in principle also be used for effect-size comparison and equivalence testing.
Since the size of equivalence sets are smaller than the order of the group, the permutation information is generated using exhaustive search.
Using the pilot data to calculate standardised effects sizes, the equivalence margin includes small differences (<0.37) but excludes moderate or large treatment differences.
The aims of this study were to measure the orifice size and compare biologic equivalence in six bileaflet mechanical heart valve designs.
The sample size in this equivalence study is based on an applied equivalence limit difference ES of 0.4, as this range of small to moderate difference in effect size will not result in clinically important differences.
The latter straightforwardly reduces the size of solution equivalence classes, thereby facilitating the search for an optimum.
For example, the relation x and y are the same size is an equivalence relation that does not satisfy LL (with respect to a rich language such as English).
However, propensity score matching on a wide range of variables with a large sample size approximates group equivalence in the absence of random assignment (Stuart 2010), permitting a degree of causal inference.
