Sentence examples for minimal statistics from inspiring English sources

China's police release only minimal statistics.

As yet we only have minimal statistics on the value of live music.

This short questionnaire also provided complementary information (minimal statistics) in view of improving our understanding of the qualitative investigation (i.e. most of non-statistical data).

The concept of minimal order statistics is used to create the probabilistic life transformation model.

(1) Based on the concept of minimal order statistics, the model for the probabilistic life transformation for planetary gear system is established.

Furthermore, based on the probabilistic life of tooth and the concept of minimal order statistics, a probabilistic life transformation model of planetary gear system is established.

If the probability density function of X is f(x), and the cumulative distribution function is F x), the probability density function of the minimal order statistics is given by Eq. (6) gleft( x right) = zleft[ {1 - Fleft( x right)} right]^{z - 1} fleft( x right).

If the number of teeth on a gear is z, then by integrating both sides of Eq. (6), we can derive the cumulative distribution function of minimal order statistics (Gleft( n right)), which is just the cumulative distribution function of gear life Gleft( n right) = 1 - left[ {1 - Fleft( n right)} right]^{z}, (7 where (Fleft( n right)) is the cumulative distribution function of the tooth.

This is because we distinguish between the sample space of data from that of the minimal sufficient statistics.

The minimal sufficient statistics under the JC model for all 895 sites, 198 tRNA-coding sites and 697 protein-coding sites based on the homologous segment of mitochondrial DNA from chimpanzee, gorilla and orangutan [ 27].

Observe that the minimal sufficient statistics over   0 T are the number of sites with the same character cxxx := c0 + c1 and the total number of sites v. Let the natural interval extension of the DAG expression for the posterior shape f(t):   0 T ↦ ℝ be: f (t 0 ) : I 0 T ↦ I ℝ.