Sentence examples for a common distribution of from inspiring English sources

The problem of estimating the parameter of a common distribution of components' lifetimes from system's lifetime data is of interest and importance in reliability engineering.

Assuming that flow i of elastic traffic along link l i, b) arrives as a Poisson process of flow arrival intensity λ i with a size drawn independently from a common distribution of mean ( mathbb{E}left[{lambda}_iright] ) [33].

In addition phylogenetic analyses revealed a common distribution of MBF1 in all Archaea with available genome sequence, except of two of the three Thaumarchaeota; Cenarchaeum symbiosum A and Nitrosopumilus maritimus SCM1.

Random effects models assume that treatment effects may vary between studies, but come from a common distribution of treatment effects, with a mean for each treatment effect and a common between-study covariance matrix.

Category 'Norwegian' included those reporting Norwegian (n = 726) and/or Kven (n = 5) ethnicity, as the two share a common distribution of life-style factors [ 15]. 'Sami/Sami-Norwegian' included those reporting Sami ethnicity (n = 90) or both Sami and Norwegian ethnicity (n = 139).

This is a major advantage over other Bayesianly proper methods such as data augmentation (Tanner and Wong 1987) that assume a common distribution for all of the variables.

Among most diploid accessions examined, a common distribution pattern of rDNA sites was observed, involving three chromosome pairs.

This relies on the homogeneity assumption that each patient's outcome is a random draw from a common distribution independent of site.

Equally, the converse is true; therefore, if we assume that the transcription rates for each construct are also drawn from a common distribution, then the estimates of c will be constrained by the distributions over the transcription rates.

This paper introduces a novel NMA modelling approach that allows IPD on time to event (with censoring) and AD on event count (for a given follow-up time) to be synthesised jointly, by assuming an underlying, common, distribution of time to healing.

This paper introduces a novel network meta-analysis modelling approach that allows individual patient-level (time to event with censoring) and summary-level data (event count for a given follow-up time) to be synthesised jointly by assuming an underlying, common, distribution of time to healing.