Sentence examples for observed component of from inspiring English sources

I suggest here that water polymers containing about 50 molecules can, by collective acoustic resonances and postulated transition dipole moments, explain the observed component of absorption of millimetre waves by the atmosphere in some conditions.

Here the observed component of utility can be decomposed into two parts.

Each cluster in the dataset is considered to be the observed component of one of these larger clusters, with the rest being missing.

Nevertheless, its ubiquity in so many consumer products has made it a routinely observed component of human serum.

If missingness does not depend on the values of the data Y, missing or observed the data are MCAR; that is Now let Y obs denote the observed components of Y and Y mis the missing components.

For ACR20, ACR50 and ACR70 analyses, patients who discontinued the study drug prior to week 52 were imputed as nonresponders (NRI; n = 34); otherwise, the last observed components of the index were utilized for each patient's response (last observation carried forward (LOCF)).

Bound information is defined as where, Hmax refers to the totally relaxed state of the system (usually estimated by randomizing the observed components of the system).

Equation (5) reflects the probability that the differences in the random terms, ε nsi  − ε nsj will be less than the differences in the observed components of utility, V nsi  − V nsj.

The effect of wild-type and mutant alleles of Hsp90 on the expected response to selection of the population of 9 RI line genotypes was approximated using observed components of genetic and environmental variation in the P582i experiment, and according to methods described by Houle [41].

We used multiple start values to avoid convergence on local maxima [ 34] and assumed a missing at random mechanism (MAR), i.e. missingness depends on the observed components of the complete data and not on missing data [ 56].

For MAR, missingness depends only on the observed components of Y and not on the missing components, such that MNAR occurs if the distribution of R depends on the missing values in matrix Y. Adapting the description of Fairclough [ 2] the test statistic arises as follows: the maximum likelihood (ML) estimate of the mean of Y i is and is the ML estimate of the covariance of Y i.