It is found that different common ambient reliability targets are broadly comparable when taking into account differences in assumptions and applications.
The selection of methods was based on their inherent differences in the underlying assumptions and previous application in GS.
Mathematical representations of these models have been in detail interpreted as well as their assumptions, parameter identifications and application examples.
Thus our effort was to combine them without changing their assumptions, equations, parameters and application scenarios as far as possible.
Most importantly, unlike gene expression data, which are generally assumed to be normally or log-normally distributed, DNA methylation data present a peculiar bimodal distribution, which breaks the normality assumption and defies the applications of Gaussian distribution based statistical approaches such as t-test or ANOVA.
Many have challenged the hidden assumptions underlying the import and application of performance measurement and accountability principles developed in business settings into health care settings [ 7– 9] and have sought to draw attention to the implications of the resultant discourses that are shaping public policy debates.
The proposed solution focuses on two types of assumption: (i) application assumptions; and (ii) environmental assumptions.
This means that such messages are not delivered during the first useful contact between MN1 and BS, in contrast with the model assumption and with the expected application behaviour.
Remark 3.1 (i) The assumptions, method, conclusion, and applications of Theorem 3.1 are different from Theorem 3.1 in [21] and [22].
Based on the concavity and continuity assumptions on utility functions and the elasticity assumption on application traffic, rigorous mathematical frameworks for standard price-based distributed algorithms have been investigated.
