Examples of using Multivariate in English and their translations into Hungarian
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A/B and multivariate testing.
Let's see how to use the multivariate.
Multivariate Statistical Methods.
Univariate and Multivariate Models.
Multivariate normal distribution and related sampling distributions.
Chemometrics, biometrics(statistics, multivariate data analysis).
Multivariate analysis of overall survival(Cox Regression method).
The lack of the cutting points concerns other multivariate methods, also.
Multivariate erythema- an allergic-infectious disease, proceeding mainly in acute form.
A/B testing isalso sometimes called split testing or multivariate testing.
Multivariate statistical analysis of variables influencing the survival rate was conducted by the Cox proportional hazards model.
Spectroscopy and artificial aroma analysis and multivariate data analysis.
In a multivariate you can cook everything: porridge and soup, meat and vegetables, steamed fish and fried potatoes, and make pizza or sweet pie.
Ability to apply knowledge of mathematics multivariate calculus, differential equation, etc.
Usually they are a series of dynamicbubble charts which allows efficient and interactive exploration and visualization of longitudinal multivariate Data.
Google Analytics does not support A/B or multivariate testing and isn't well-integrated with other tools.
I had to play around with various mathematical structures… knots, multivariate polynomials.
The Content tag typically defines multivariate testing or is used to disseminate campaign target variables in an advertising campaign.
From a theoretical standpoint, the main assumption of the Kalman filter is that the underlying system is alinear dynamical system and that all error terms and measurements have a Gaussian distribution(often a multivariate Gaussian distribution).
In a multivariate analysis controlling for available baseline cardiovascular risk factors, the hazard ratio was 1.32(95% confidence interval 0.91-1.91).
Analysis of variance F test(Includes a one-way ANOVA example)Mixed model Multivariate analysis of variance(MANOVA) Repeated measures ANOVA Two-way ANOVA Welch's t-test.
Results from exploratory multivariate analyses identified patient and tumour characteristics(ECOG performance status, M stage, baseline LDH, BRAF mutation status, PD-L1 status, and gender) which might contribute to the survival outcome.
Methods of estimation are abbreviated: CR= capture- recapture;TM= treatment multiplier; MI= multivariate indicator; MM= mortality multiplier; CM= combined methods; OT= other methods.
Results of a post-hoc, exploratory multivariate analysis indicated that nivolumab-treated patients with poorer prognostic features and/or aggressive disease when combined with lower(e.g.< 50%) or no tumour PD-L1 expression may be at higher risk of death within the first 3 months.
Experiments will involve a combination of laboratory-based and field-based measurements, and techniques such as LIDAR, time-resolved measurements of lowintensity light fields using photomultipliers, and multivariate analysis of Raman and fluorescence spectra will be utilised.
To facilitate cooking,and to make sure how to properly use the multivariate, a recipe book with a detailed and understandable description of all processes is attached.
The next challenge will be to develop a novel validated algorithm for processing the sensor array signals and transmitting them via the Internet organized by an RPi,which means also development of novel multivariate chemometric methods, as well as improving existing ones.
We have recently developed a new method, using multivariate curve resolution algorithms, that do not require knowing the number and identity of the components in the waste sample[XIII].
This study investigates the effect of Medical Marijuana Laws(MML)s on opioid use and misuse controlling for a number of relevant factors using data from several years of the National Survey on Drug Use andHealth and multivariate logistic regression and longitudinal analysis strategies.
The program allows us to approach the energy diagnosis in different ways, including variance analysis,entropy analysis, multivariate or linear analysis, and graphical representation(the program compares the graphical representation of the virtual models of the diseases with the data of the examined person).