Sentence examples for empirical size from inspiring English sources
The phrase "empirical size" is correct and usable in written English
It can be used in contexts related to statistics, research, or measurements where size is determined through observation or experimentation. Example: "The empirical size of the sample was crucial for ensuring the validity of the study's results."
Both geometric and mean-field models of fracture and fragmentation can account for the empirical size distribution.
When the input parameters which define the initial powder are allowed to vary, the model demonstrates an ability to simulate the experimental empirical size distributions.
A number of restricted tests possess both sufficiently satisfactory empirical size and power characteristics to allow their recommendation for econometric practice.
An extensive set of simulation experiments explores the practical efficacy of the various test statistics in terms of empirical size and size-adjusted power confirming the superiority of restricted over unrestricted tests.
We establish the limiting null distribution of our test and demonstrate that our test has good empirical size and substantive power relative to the existing alternatives especially for multiple breaks.
Conditional versions of the test statistic designed to cope with random time effects or spatial error correlation show empirical size distortions in case the source of contemporaneous error correlation is misspecified.
The effects of specimen size and meso-structure controls on macroscopic strength and toughness are analysed, and empirical size-effect laws for their dependences are proposed by data regression.
We can also see that the empirical sizes of these two tests tend to decrease as the historical sample size T increases and increase as q increases.
But even if T is small or q is large, the empirical sizes of these two testing methods are still very close to the nominal level.
Under these conditions results show that for complete data Gr (Gray test) has an overinflated size for CD (0.10 < α < 0.19, complete data), whereas the other two tests have better empirical sizes in general (0.04 < α ≤ 0.12 for Pe [Peto test] and 0.05 < α < 0.08 for CS [Cause-Specific test], complete data).
We found that variance in latent period impacts simulation burst sizes significantly with larger variances producing smaller bursts on average, and the empirical burst size for Muts was reached when SD = 4 min.
