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To generate data for statistical analysis we performed a thin-plate spline (TPS) procedure to generate partial warp scores.
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For each allele, five individual plants were selected for generating data for statistical analysis.
Further considerations supporting this decision were the anticipation of data loss over the four data collection points and an interest in generating sufficient data for statistical analysis.
A number of 5 independent stochastic simulations generated the data for statistical analysis of the average and standard deviation.
The generated data undergoes statistical treatment, from which gigantic RVE sizes emerge.
As of this writing, researchers on four continents have generated data sufficient for answering with an adequate statistical power, the following questions: Does eCO2 shift the plant ionome?
The generated data were analysed using Statistical Package for Social Sciences (SPSS) version 16.
Dye-swap hybridizations were performed in triplicate for HM samples, and generated data were used for mathematical and statistical analyses.
This method is an appropriate technique for generating data with constant spatial variability of statistical parameters.
For the same reason, we use artificially generated data to experimentally study the statistical properties of our algorithms and verify that they are robust against noise.
Statistical package for social sciences (SPSS) program has been used to process the generated data from Scopus database statistically.
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CEO of Professional Science Editing for Scientists @ prosciediting.com