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This generic procedure, referred to as Least-Squares Dynamic Programming (LSDP), combines an approximation of the value of a sampling policy based on a linear regression, the construction of a batch of MRF realizations and a backwards induction algorithm.
The fifth and sixth rows (Eqs. 7.1 8.2) involve sampling with probability proportional to size in the second phase, size being determined by the auxiliary variable value of a sampling unit.
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A point estimate is a value of a sample statistic that is used as a single estimate of a population parameter.
The correct alternative on any one trial depends on the value of a sample stimulus, which is also part of each trial.
If the value of a sample mean is within the control limits, the process can be continued under the assumption that the quality standards are being maintained.
Marcus (1962) and Parsons (1964) studied the laboratory results of directional permeability, and concluded that the directional permeability value of a sample is an apparent value depending on the L/W ratio (length/width) of the sample.
The training samples are weighted with the possibility and typicality value of a sample belonging to MC output by the novel introduction of possibilistic fuzzy c-means (PFCM) clustering.
When the value of a sample fell outside the aforementioned reference ranges, the sample was reanalyzed at a higher dilution.
A point estimate is a single numerical value of a sample statistic used to estimate the corresponding population parameter.
Thus, the Cq value of a sample is inversely proportional to the starting amount of template DNA, e.g. telomere repeats.
The Ct value of a sample is determined as the fractional cycle number when the sample's fluorescence signal exceeds the threshold.
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CEO of Professional Science Editing for Scientists @ prosciediting.com