Sentence examples for the lack of randomness from inspiring English sources

It estimates an additional error in analysis of variance to compensate for P variations between depths due to non-independence of the data, the lack of randomness, and autocorrelation of P content between depths.

Most of these studies are based on conventional methods and could overestimate the avoided deforestation of PAs by omitting from their analyses the lack of randomness in the allocation of forest protection.

The lack of randomness in the anatomical distribution of tumors in various organs suggests that there is an unknown microenvironmental factor that significantly increases the risk of cancer in a spatial manner.

Statisticians, engineers, and general data scientists still prefer traditional regression methods over EC methods because of the solid mathematical foundations, the interpretability of the models, and the lack of randomness, even though such deterministic methods tend to provide lower quality prediction than stochastic EC methods.

The lack of randomness in the breeding history of inbred strains in combination with the fact that strain subgroups may also differ phenotypically can create spurious associations.

For example, the lack of randomness in breeding histories of inbred strains in combination with the fact that subgroups may also differ phenotypically can create spurious associations.

To obtain a test statistic representing a combined measure of the lack of orientation randomness for each IS family at Phylum level, we obtained the product of the P values calculated on the corresponding chromosomes, following a strategy similar to that of Bailey and Gribskov (1998).

Therefore, the disadvantage of a lack of randomness in the survey should be noted.

The concentration of energy in a particular frequency band indicates lack of randomness in terms of frequency of that particular signal.

Although best attempts were made to achieve rigorous virus selection; lack of randomness in specimen sampling may have introduced bias (both temporal and geographic) that precluded us from achieving findings with significance.

However, the lack of a definitive consensus sequence in S/MARs and the randomness of the protozoan genome in general, make it a challenge to predict and identify such sequences from protists.