Sentence examples for statistical condition from inspiring English sources

The phrase "statistical condition" is correct and can be used in written English.
It is typically used in discussions or analyses involving data or statistics, and refers to a specific requirement or factor that must be met in order for a statistical analysis to be valid or accurate. Here is an example: "In order to determine the correlation between income and education level, it is necessary to meet the statistical condition of having a large enough sample size."

Exact(7)

Here, on the contrary, we derive a value constraint independently from any statistical reasoning, and then conclude that this constraint should transfer into the measurement statistics.[8] Now, VC2′ and the statistical condition (3) entail: If prob[v(Sx =0]=1, then prob[v(Sx′)=1]=1.

Reichenbach had analyzed such examples by seeing both the barometer's fall and the storm as effects of a common cause and offering a statistical condition to encompass situations in which common causes are present.

He has also given his name to a statistical condition called "Maskin monotonicity", which might not be the sort of thing to mention at parties.The work of this year's winners is closely related to that of several earlier laureates, including William Vickrey and James Mirrlees, John Harsanyi and John Nash, the game theorist whose life story was made into an Oscar-winning film, "A Beautiful Mind".

The fraction of experiments should conserve the statistical condition of orthogonality that allows the estimation of independent parameters [ 22, 25].

This is an important statistical condition before the means of different subgroups can be compared with each other [ 28].

The statistical condition contrast (hits minus misses) of the poststimulus time range (0 500 ms) included grid points of AI ROIs.

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Similar(53)

For improved analysis, values were converted to their natural logarithms, SDs decreased, providing improved statistical conditions, but no statistically significant effect of exposure could be shown (data not shown).

There microstructural inhomogeneities and statistical conditions play an important role.

In practice, the filter will be applied in statistical conditions that do not exactly match those for which it has been designed.

The proposed approach relies on statistical linearization and enforces pertinent statistical conditions to decompose the inelastic d-DOF system into d linear single DOF oscillators with effective linear properties (ELPs): natural frequency and damping ratio.

Therefore, TTSD keeps on separating the noisy pixels after each level and probes the noise-free pixels level by level unless the three proposed statistical conditions of noisiness are verified.

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