Sentence examples for adaptation of the sample from inspiring English sources

KMO is usually used to evaluate the adaptation of the sample.

According to the study by Kaiser [20], if the value of KMO is smaller than 0.5, then the adaptation of the sample is not good and only when the KMO value is larger than 0.6 can the factor analysis be valid.

This leads to procedures where the effect of adjusting the adaptation of the sample size is no longer dramatic.

In fact, in more sophisticated MAC schemes, the probability of transmission at a node can be modeled as a function of general parameters, such as queuing statistics, the queue-dropping rate, the channel outage probability incurred by fading [24], the adaptation of the sampling to rate to patient's condition [25], the MAC strategy used [26], etc.

Further, the geographic representativeness score (GRS) takes distinctness/uniqueness of populations into account indirectly, and the environmental representativeness score (ERS) addresses the issue by illuminating gaps in the abiotic adaptations of the sampled material (i.e. number of different climatic environments covered by the conserved material).

The remaining part of the allele-specific PCF algorithm is then essentially an adaptation of the multi-sample PCF algorithm applied to two samples.

This approach has been shown to produce accurate estimates of the true effective number of factors k*; the adaptation of the Gibbs sampler occurs every 10 iterations at the beginning of the Markov chain but decreases in frequency exponentially fast, so as to satisfy the diminishing adaptation condition in Theorem 5 of Roberts and Rosenthal (2007).

The mean GAF-score implies a relatively good psychosocial adaptation of the follow-up sample (m = 69.6, SD = 15.47, min = 30, max = 90).

Egloff et al. [ 33] reported good internal consistencies (mean α = .81) for a German adaptation of the ERQ in a sample of 82 psychology students.

This work explored gender differences in the psychological adaptation of a sample of Spanish fathers and mothers of individuals with Autism Spectrum Disorder (ASD) using a multilevel modeling approach (MLM) that accounts for nested data.

We compared six different approaches; the approaches were: 1. the standard formula for the SE of a proportion, 2. adaptation of the standard formula with the sampling fraction, 3. A bootstrap procedure, 4. A approach, which uses the sensitivity, the specificity and the prevalence, 5. Weighted logistic regression, and 6.