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Table 3.1 Description of the decision making system (DMS) and the sub-units of the decision
making sequent procedure (DMSP) of Fig. 3.5
Sub-unit
Description
VMD
Visualization of the measurement data in the form of direct soft copy, discrete
distribution and statistical parameters
CSC
Calculation of the statistical characteristics (mean, central second- and third-order
moments, asymmetry and excess coef cients, expression of the entropy, etc.)
SETDF
Synthesis of the empirical and theoretical distribution functions
VP
Valuation of the parameters used in the Neyman-Pearson and the sequential
procedures of the hypotheses decision
RUA
Realization of the user access to all the functions of the decision-making system
VVAD
Visualization of the accepted decision
DMSP-I
DMSP input: α , ʲ , a,{x i }
AMLR
Accumulation of measurements as the likelihood ratio
ET
Evaluation of the thresholds A and B
CLRT
Comparison of the likelihood ratio with the thresholds A and B
VSPS
Visualization of the sequential procedure state
FTDP-
UQ
The FTDP unit query with respect to the form of f a (x) and the activation of the
appropriate knowledge base level
EV
Evaluation of E m ;
D m ;
c
CPCSP
Computation of the probability of completion of the sequential procedure
CTT
Control of the task type for the choice between H 0 and H 1 taking the errors of the
first and second kind into consideration
MOI
Management of the operative intervention to the functioning of the DMSP unit
Fig. 3.6 An example of the
dynamics of the accumulated
sum of the likelihood function
logarithm visualized by the
sub-unit VSPS
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