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However, the aim of this pilot study was to provide novel data to support the underlying rationale and generate a sample size for a subsequent experimental trial.
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A purposive sampling method was used with regards to observing the CDE programme and generating a sample of participants that completed the intervention [ 16].
The study utilised a large established survey of adult mental well-being with high levels of compliance, delivered across a diverse population and generating a sample with a wide range of income, employment status and age demographics.
Pella and Masuda (2006) applied their HWLER program to data set 4, and generated a sample of 20160 observations (with a period of 5 iterations) from the the posterior distribution of the sample partition.
As that study did not use oocytes with known staging, we examined metaphase arrested nod oocytes from females with exchange X chromosomes (which have very high rates of 4 loss and a much lower rate of X loss, limited to those 6 10% of meioses with spontaneously nonexchange X chromosomes), and generated a sample size that allows estimation of segregation class frequencies.
In this commonly-used technique, a series of crosses between two extreme forms (in this case, the surface populations and the cave populations) generate a sample of organisms that vary both in genotype and in the trait of interest (see Conner and Hartl 2005 for a review).
This is a valid assumption as a local transform coding could be applied to the time samples and generate a set of samples with no time redundancy.
A census was conducted in the selected Kebeles to identify households with children aged 6-23 months and to generate a sampling frame.
The above data showed that impurities can cause the LTT, so we attempted to formulate a mathematical model (materials and methods) which could describe the unfolding of all the helical populations within a sample, and generate a well-defined LTT derivative signal as it might be observed by DSC, CD, or polarimetry.
As a starting point choose uncorrelated (beta_{m}) and (gamma _{m}) from the probability distribution (phi(g)) and generate a large number of samples of the quenched disorder (g(x)) according to (7).
The method would learn the best graphical model for each sampled dataset and generate a consensus network from the average of the sample models.
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