Sentence examples for the description of random from inspiring English sources

Individual item analysis showed substantial agreement for the description of random allocation, investigator and subject blinding, appropriateness of sample size, reporting of attrition, and reporting of statistical tests.

Even though my heart melts at the sight of his caramel-colored face, big brown eyes and kinky-curly afro, I'm aware that as he ages those features could fit the description of a random police suspect or be perceived as a threat.

The conditional probability distributions for the model are given in Figure 3 and the description of all random variables is listed in Table 1.

The paper addresses and advertises recent methods combining stochastic processes and imprecise probability, namely random fields for the description of loads and random sets for the description of uncertain input parameters.

The description of the introduced random fields is given in a "white noise" framework, which enables us to solve the stochastic forward problem through Galerkin projection onto polynomial chaos.

The chapter presents the basics of statistical description of random variables that are the foundation for reliability analysis.

According to the latest CONSORT statement [ 10], adequate description of random allocation sequence generation should contain at least three aspects: methods used to generate the random sequence, randomization type, and restriction details.

Geostatistics focuses on spatial and temporal varying phenomena and can be considered as a collection of numerical techniques dealing with the description of spatial properties, employing chiefly random models in a manner similar to the way in which time series analysis characterizes temporal data.

The description of optical radiation propagation within random media is based on the radiative transfer [ 5] that forms a basis of Monte Carlo (MC) modeling of photons migration in biological tissue [ 6].

Section "Description of random walk-based sampling processes" explains the different types of random walks studied and derives associated transition kernels and joint degree distributions.

Assessment of the risk of bias was based on the original descriptions of random sequence generation, allocation concealment, blinding, incomplete outcome data and other bias.