Sentence examples for type of regression from inspiring English sources

There exist several types of Kriging, mostly differing in the type of regression function used.

This type of regression is often met with a generic label that I refuse to use in my analysis (it rhymes with ploshmore clump), when instead we should focus on the fact that baseball is a game of adjustments.

For our technically-inclined readers: what I'll be using here is a type of regression called ordered logit, which is appropriate when there is a hierarchy of categorical outcomes (running for president; winning the nomination; becoming president).

The parameters considered in the search for a useful calibration model are type of regression method, calibration set selection, variable subset selection, outlier identification, Box-Cox transformation, differentiation and number of components.

Application of the models to 62 validation watersheds throughout the Great Lakes basin indicated that model simulations were far more sensitive to the temporal characterization of hydrologic response than to the type of regression technique employed, and that models conditioned on individual monthly runoff ratios (rather than long term mean values) performed better.

Therefore, along with the less complexity with the factorial analysis (here elements were accounted in a trinomial scale), alternatives for the reference should also be sought (the available software packages for this type of regression do not check when the table of transformation from multinomial data type to binomial variables is built).

The number of observations in the first regression is 73,892; for the second type of regressions this is 62,243 (the birth cohorts of 1956 and 1957 are not included).

The same type of regression-analyses were used to analyze the follow-up outcome measures with respect to the social background variables.

One, the results should be read with some caution, as our analyses are sensitive to a type of regression-to-the-mean effect.

Two types of regression estimator, the simple regression estimator and the ratio estimator are compared with the π* estimator in two case studies.

In these types of regression methodology, variable selection is one of the most important issues to construct a robust and predictive quantitative structure activity relationship (QSAR) model.