Sentence examples for multivariate statistics for from inspiring English sources

First, it uses multivariate statistics for identification of farm types, and second, it uses a string of economic and non-economic variables for such classification.

This includes attributes, such as multivariate statistics (for example, regression analysis, principal component or factor analysis); content analysis; historical or policy analysis; uncertainty treatment; modeling and simulation; spatial analysis; spatial or temporal mapping; and indexing.

Instead of conducting a conventional way of identifying and characterizing farming system based on the source of the highest gross income received (from crops, vegetables, fruits and orchard, livestock, dairy, fishery, and poultry), the study employed multivariate statistics for identification of farm types and their characterization.

Conclusions were based on (uni- or multivariate) statistics for within-group and/or between-groups differences.

(vii) We have applied multivariate statistics for the analysis of factors affecting mRNA decay rates, which identifies direct effects and distinguishes them from mere correlations.

The Bayesian model does not use a weighted scoring system, it uses a decision rule that enables the probability of morbidity in patients undergone CABG surgery to be assessed according to multivariate statistics of the predictor variables used for discrimination (12 variables were selected in our model).

Raich and Cinar [14 16] are among the earliest researchers to apply multivariate statistics techniques for TEP fault diagnosis.

Genedata's Expressionist (GeneData, Basel) and DeCyder EDA (GE Healthcare) are products that offer multivariate statistics tailored for 2-D gel image data.

Multivariate statistics was used for a preliminary inspection of the technical quality of the data, as a whole (taking about 1 h of analysis, Figure 1A).

Design values are often based on univariate statistical analysis, while actually multivariate statistics is more appropriate for modeling the whole structure.

At least 10000 points are required for the multivariate statistics; increasing n decreases the statistical error and allows reliable estimates of high MI.