Statistics for Making Decisions by Longford Nicholas T.;

Statistics for Making Decisions by Longford Nicholas T.;

Author:Longford, Nicholas T.;
Language: eng
Format: epub
Publisher: CRC Press LLC
Published: 2020-12-30T00:00:00+00:00


as a function of and R. Now, and involve neither nor R, so we can regard them as constants. Further, the expected loss functions and are effectively identical for any constant ; certainly, while and R are held constant, they do not alter the value of T∗. A change of R to for a constant can be compensated by altering to

(7.2)

and altering Q to

The factor is a decreasing function of d, equal to unity when . Therefore, an increase of R is equivalent to a reduction of , leaving the optimal cutpoint T∗ unchanged. Conversely, an increase of R accompanied by an increase of compounds their ‘individual’ reductions of T∗. This confirms that the extreme plausible values of T∗ arise with plausible pairs in the south-west and north-east vertices of the plausible rectangle.

Uncertainty about the expectations and variances of Y can be addressed similarly. Each element of uncertainty inflates the plausible range of T∗, so we have to be sparing with these uncertainties. By this statement we mean that the assessment of uncertainties should be as rigorous as possible, to keep the uncertainty in T∗ in check. But the uncertainties about the parameters involved should be reduced as much as possible, by a combined effort of data collection and elicitation. Also, at the planning stage, an exploration of the extent to which the uncertainty about a parameter converts to wider plausible range of T∗ may help us to distribute the available (research) resources among the competing goals of reducing the uncertainties about R, , and , S = D and H, and, indeed, in establishing the nature and shape of the within-status distributions of Y.



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