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Consumers evaluated each strawberry sample for overall acceptance, as well as perceived intensity of flavor, juiciness, sweetness, and sourness using a discrete 9-point, bipolar hedonic/intensity scale, where 1 = dislike extremely/extremely low intensity and 9 = like extremely/extremely high intensity, according to ISO standards for quantitative response scales [67].
Response times for each C-probe annealing and each sample were scored for acceptance in the following sequence.
For acceptance sampling, the probability of accepting the lot is a cumulative sum containing x = 0, 1, 2, …, c, in the framework of the cumulative probability distribution.
Criteria for quantification: 1. hits were only accepted at a threshold of two peptides e≤0.1; 2. spectral count of at least 3 in at least 4 of the samples of one sample set was required for acceptance.
In industry, a producer risk 1 − P AQL) below 5% is very attractive and usual for acceptance sampling.
The conclusion is that the hypergeometric distribution, ubiquitously available in commonly used software, is more appropriate than other distributions for acceptance sampling.
The plan with the largest sample size n = 300 dominates the others from the consumer point of view since the probability of accepting lots decreases faster as the lot deteriorates in terms of p. The shape of the OCC has been extensively analyzed for acceptance sampling in for example Mittag and Rinne (1993, pp. 139 142).
The Markov Chain Monte Carlo with Metropolis–Hastings algorithm has been applied for sampling variable and its acceptance.
Given the very low yields and the resulting limitations to accurate measurement of extracted RNA for many samples, acceptance criteria for the assay include a specification of the average of the reference genes rather than on mass of RNA input as the primary specification for sample quality.
For instance, flexible strategies, like the variable threshold strategy [ 33, 41] allow for acceptance thresholds to change based on sampling costs.
This section does not provide specific criteria for acceptance or rejection of the test sample.
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