Sentence examples for transformation and random from inspiring English sources

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They found data quality was significantly improved by imposing the constraint of minimal number of replicates, logarithmic transformation and random error analyses.

We discovered that data quality was significantly improved by imposing the constraint of minimal number of replicates, logarithmic transformation and random error analyses.

Variations among gene expression profiles were compared and we concluded that data processing techniques, including setting minimal number of replicates, logarithmic (log) transformation and random error analyses, appeared to be valuable to improve data quality.

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Optimal sampling strategies for various superpopulation models, e.g., product measure, equicorrelation, transformation, exchangeable, and random permutation models have also been introduced.

And without intention, transformation becomes random and perhaps more likely to be negative instead of positive.

Lastly, potential interactions between parameter estimates for transformation and for linear and/or random effects remains unclear, and, interpretation for the transformed data analysis, as always, remains a challenge that warrants further research.

The new system performs both random position permutation and random value transformation.

According to [21] and the transformation of random variables, the PDF of θ i is then given as p θ i ( x ) = λ iP I th λ iR σ 2 2 x log 2 2 x - 1 + λ iP I th λ iR σ 2 2, (19).

However, this formula, as well as most other formulas, are derived from Taylor's expansion of a transformation of random variables, and depend on the assumption that the ratios a / b and c / d are independent (have zero covariance).

Study specific correlation coefficients were transformed to approximate normality based on Fisher's z transformation and combined across studies with random effects meta-analysis.

Directly approximating images from biohash vectors may also be possible by integrating the PCA transformation with random projection matrix and solving the optimization problem by enforcing sparsity in the DCT or block-DCT domain.

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