Sentence examples for of original data to from inspiring English sources
Principal component analysis (PCA) reduces the multidimensionality of data set by a linear combination of original data to generate new latent variables which are orthogonal and uncorrelated to each other.
Our most important limitation was the lack of original data to model the continuous association between A1C values and incidence.
The bootstrap method is based on the use of the original data to generate a surrogate population of samples, where the correlations contained in the original one are removed/destroyed.
The first step involves a normalization of the original data to N 0,1), and then a transformation of the normalized data into a piecewise aggregate approximation (PAA) is performed.
A specific class of such tasks is the building of classification or prognostic rules which uses resampling of the original data to estimate the classification or prognostic error.
This parameter was chosen such that the resulted data using the selected parameter's value show some sort of similarity (in its overall representation) to the pattern of the original data to be downwardly continued.
A. One-way ANOVA Meta-analysis of original and replication attempt effect sizes: Compare the effect sizes of the original data to the replication data, using a meta-analytic approach to combine the original and replication effects which will be presented as a forest plot.
Meta-analysis of original and replication attempt effect sizes: Compare the effect sizes of the original data to the replication data and use a meta-analytic approach to combine the original and replication effects, which will be presented as a forest plot.
We use permutation re-sampling of the original data to model the null distribution and calculate the p-value of each pathway edge (see Methods).
Therefore, we aim to find a more compact representation of the original data to avoid redundancy.
The autoregressive moving average (ARMA) method is used to model the modal time functions, and together with POD, enables major compression of the original data to be achieved.
