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Subject values

Further, we could have written an invariant external to the collaboration, defining the overall goal and saying nothing about how it is achieved inv Observer subject.value = value view... [Pg.375]

Note Mean values for 127 subjects. Values with different letter... [Pg.178]

Note Mean values of 25 subjects. Values wi th different letter... [Pg.182]

This subjective value is not measurable and is deduced from ageing test interpretations and information collected in the technical literature. [Pg.158]

Valuation Use subjective values in an attempt to rank or to weight across different categories. [Pg.100]

Reduction of the subjective values or criteria to a specified compound, group of compounds or physical factor is often a very difficult endeavor, but one by one each of the so-called "qualitative criteria" is being linked to the presence or absence of specific constituents. Sometimes only a single compound is involved, however, often the qualitative character is the result of additive or even synergistic interactions of two or more constituents. Thus, since there are so many different characteristics that can contribute to the total quality of any single food product, it is paramount that precise objective methodology be developed for each parameter. [Pg.342]

Using ultrasonic equipment, bone density was measured in 35 Cd-exposed and 68 non-exposed subjects [95]. The bone density was significantly decreased in Cd-exposed subjects as compared to the non-exposed subjects. Values obtained with this method (which is considered to be safer since it lacks radiation exposure) showed a significant correlation with those measured by microdensitometry. [Pg.793]

The distinction between possibility and probability may perhaps be clarified by an example such as it is possible that when a proof load to the value of the design working load xN is put upon my structure it will collapse, but it is not probable . Subjective values for the two assessment fV for probability of collapse it N = n, and Xy for the possibility of collapse at N = n may be... [Pg.97]

Fig. 2. Transepidermal water loss (g/m h) and capacitance (A.U.y arbitrary units) mean ( standard deviation) values in 186 children with atopic dermatitis (AD) and in 38 healthy age- and sex-matched control subjects. Values referring to uninvolved skin sites in children without skin lesions at the moment of the investigation differ from those of AD children with active dermatitis... Fig. 2. Transepidermal water loss (g/m h) and capacitance (A.U.y arbitrary units) mean ( standard deviation) values in 186 children with atopic dermatitis (AD) and in 38 healthy age- and sex-matched control subjects. Values referring to uninvolved skin sites in children without skin lesions at the moment of the investigation differ from those of AD children with active dermatitis...
Finding a common metric for dissimilar risks is not an analytical process, because some judgments should be made as to how to link two or more separate scales of risks. These judgments often involve subjective values, and because of this, it is a deliberative process. (55)... [Pg.121]

FIGURE 9.3 The fatigue index calculation is based on a range of objective and subjective values entered into an accompanying fatigue and risk assessment. (From Health and Safety Executive, Fatigue Index Calculator Version 2.2, Health and Safety Executive, London, 2005. Reproduced under the terms of the Click-Use Licence.)... [Pg.240]

FIGURE 9.3 The fatigue index calculation is based on a range of objective and subjective values entered into an accompanying fatigue and risk assessment. ..240... [Pg.431]

The small increase of mean values may be due to the occurrence of higher elementary times in some subjects (values from 11 to 28 ms in ET(vNNl) and 11 to 23 ms in ET(vNNr)). [Pg.225]

Figure 10.3 The marginal subjective value and cost of additional information. Source Adapted from Harrison, 1987. Figure 10.3 The marginal subjective value and cost of additional information. Source Adapted from Harrison, 1987.
Once all basic event probabilities are determined for a consequence tree the risk value can be computed. The top consequence probability is obtained by the classical approach of combining the basic event probabilities according to the minimal cut set equation. However, for the mathematical combination of probabilities, dependent uncertainty analysis is used. This analysis is such that the data sources determine the coupling of uncertainties and hence the uncertainty in the risk value. In addition, a quantitative subjectivity value is calculated for the top-consequence probability estimate based on the data subjectivities of the contributing basic events. [Pg.27]

Thyroidal absolute iodine uptake and degradation of thyroxine measured in the same subjects. Values for both are expressed as pg I/day. Circles AIU calculated thyroid clearance and serum... [Pg.46]

Supply chain risk is defined by the distribution of the loss resulting from the variation in possible supply chain outcomes, their likelihood, and their subjective values. Supply chain risks comprise risks due to variations in information, material and product flows, which originate at the original supplier and lead to the delivery of the final product to the end user. Thus supply chain risks refer to the possibility and effect of a mismatch between supply and demand. Furthermore, risk consequences can also be associated with specific supply chain outcomes like supply chain costs or quality. Within this context, we can identify the following basic constructs of supply chain risk management ... [Pg.203]

The analysis, characterisation and measurement of risk call into question our understanding of the scope of the domain that is considered to be relevant for the purpose of explaining risk. To some extent our scientific analysis of risk, which is intended to allow us to measure risk using the most formalised methods possible, depends on subjective values from the outset. [Pg.62]


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See also in sourсe #XX -- [ Pg.74 , Pg.75 , Pg.86 ]




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