Examples of using Multivariate in English and their translations into Indonesian
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Omelet in a multivariate.
Multivariate and A/B testing helps us figure out which tactics really work.
All the world is multivariate.
Application of Multivariate Analysis with SPSS Program(4th Edition).
You're dealing with multivariate.
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Application of Multivariate Analysis with SPSS Program(4th Edition).
Sometimes the data is univariate or multivariate.
These are called multivariate time series.
An extension of the theory is necessary for the purposes of multivariate calculus.
When the assumption of multivariate normality is violated, the chi-square fit.
Multivariate analysis including factor analysis, cluster analysis, correspondence analysis;
JMuTi is basically afree econometric software to analyze univariate and multivariate time series.
Multivariate Analysis- includes factor analysis, cluster analysis, correspondence analysis, etc.
When more specific types of differentiation are necessary, such as in multivariate calculus or tensor analysis, other notations are common.
Multivariate normality is the assumption that all variables and all combinations of variables are normally distributed.
We find additional evidence of the isolation effect in multivariate tests, including one conducted by Paras Chopra published in Smashing Magazine.
Multivariate tests are always used when more than three variables are involved and the context of their content is unclear.
Aside from being a lightweight tool that allows multivariate split tests, it also features a drag and drops CTA builder that comes with pre-made templates.
Multivariate adaptive regression splines is a non-parametric technique that builds flexible models by fitting piecewise linear regressions.
In contrast,the Solutions Model proposes a set of constructs that form a multivariate outcome space and includes measures that are sensitive to progress through all stages.
Such a multivariate situation requires a comprehensive approach akin to that of n-dimensional component analysis, in the mathematical sense.
This association held up through multivariate analysis, which controlled for the other potential contributing influences.
Multivariate adaptive regression splines(MARS) is a non-parametric technique that builds flexible models by fitting piecewise linear regressions.
Dependent variables were analyzed using multivariate repeated measures ANOVA with post-hoc focused on evaluating changes over time within Control and Experimental groups(alpha= 0.05).
Multivariate statistical methods and classification methods were then used to analyze the Raman data and classify the cells in an objective, unbiased manner.
More sophisticated testing- called multivariate testing- allows you to test multiple variables at the same time such as different combinations of color and headlines for example.
Multivariate statistical techniques and classification techniques were subsequently employed to analyze the Raman data and categorize the cells in an objective, unbiased manner.
Multivariate data mapping, which uses two or more data sets, could look at rainfall, elevation, and the amount of vegetation relative to both, for example.
This multivariate display on a two dimensional surface tells a story that can be grasped immediately while identifying the source data to build credibility.
In the multivariate survey( including multivariate arrested development analysis) the sample size should be several times larger( to 10 times) than the figure of variables to be analyzed.