Sentence examples for reducing variance for from inspiring English sources

Different analysis methods were compared, and RMA was considered most effective at reducing variance for low expressing genes (such as transcription factors).

Furthermore, these models are useful to structure and reduce variance, for example, to reduce measurement error if several items on a questionnaire are assumed to represent a common dimension.

The goals of such adjustment include accounting for baseline imbalances, reducing variance, and mitigating the effects of potential differential enrollment.

We adjusted the phenotypes for sex and direction-of-cross (Parental Grand Mother) reducing variance not attributed to QTL.

This reduced variance of family size reduced Δ F further.

An analysis of covariance (ANCOVA) of the primary endpoint will also be used to reduce variance, adjusted for exposure variable (total hip arthroplasty/hemiarthroplasty) and stratification (male/female).

Furthermore, QN of Type I and Type II intensities separately appear to reduce variance, particularly for the iDMR measures (compare daten1 and dasen), but more complicated segmented QN schemes seem to be counterproductive despite embodying valuable insights about the properties of the assay (compare Tost[ 7] and SWAN[ 6] with dasen).

The reduced variance we found for phenolics may indicate consistent selection against bitterness, while the increased variance for fruit size could possibly reflect a range of preferences by the distinct cultural groups that utilize this species in central Panama, including Emberá and Wounaan communities, as well as people of Hispanic and Antillean descent.

We used a linear regression analysis to reduce variance, and adjusted for group (placebo/risedronate) and stratification factor (male/female) in order to evaluate the effect of treatment at 4 years.

Both of the linear drift parameters were slightly negative, with CI's excluding zero, for the Hapalopidae + Pelycodontidae group in the model-averaged estimates (Table  1), indicating decrease in mean body size and reduced variance through time for this group, although the absolute value of these terms was quite low.

Ridge regression (Hoerl and Kennard, 1970) uses a penalty on the L2 norm of the coefficients, which introduces bias in the prediction error in exchange for reduced variance.