Examples of using Multivariate analysis in English and their translations into Japanese
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Optional topics typically include generalised linear models, Markov Chain Monte Carlo, the bootstrap, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, and shape and image analysis. .
Optional topics typically include generalised linear models, Markov Chain Monte Carlo, the bootstrap, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, together with shape and image analysis. .
Recently, we are also working on statistical inference of the growth mechanism of complex networks, and multivariate analysis methods and their deep learning for integrating several types of data such as images and sentences.
Over the years, XLSTAT has become a front-line player in the field of statistics and multivariate analysis, offering a wide array of methods and features used in a variety of fields.
Uses for multivariate analysis include: Multivariate analysis can be complicated by the desire to include physics-based analysis to calculate the effects of variables for a hierarchical"system-of-systems".
Multivariate analysis of one study[38] demonstrated that advanced cancer patients' preferences for chemotherapy were explained by higher values assigned to length of life and lower values for QOL.
To reduce such uncertainties, the institute has developed statistical tools utilizing multivariate analysis to predict future temperature changes using observational data from the late 20th century.
SRDQ: HELP The SRDQ data analysis web page makes it possible to use your Internet browser to easily perform a wide range of functions, from frequencies and cross tabulations to multivariate analysis.
We identified 31 observational studies written in English since 1990 that used multivariate analysis to examine quality of care at nonfederal general acute, short-stay US hospitals.
A multivariate analysis of prognostic variables in 626 patients with locally advanced disease(primarily stages II, III, and IV) studied by the GOG identified the following variables that were significant for progression-free interval and survival:[39].
In multivariate analysis, several baseline factors(e.g., performance status, age, sex, number of organ sites with metastasis, and lactate dehydrogenase level) were significantly associated with both progression-free survival and overall survival.
Furthermore, multivariate analysis of the present study showed that TS negative expression was significantly associated with longer survival, along with younger age and EGFR mutation, suggesting it is a good independent prognostic marker.”.
Image generation action analysis multi-spectrum analysis machine learning deep learning CT PET X-ray image SNS electron microscope signal processing image processing visualization NIRS MRI multimedia processing sports video infrastructure satellite image EEG medical image multivariate analysis image coding super-resolution Web mining big data IoT AI image quality assessment image restoration image reconstruction text processing information retrieval music image retrieval semantic analysis. .
Their anxieties need to be removed, by offering them a vision of a world brought about by new services and business models made possible by the existence of information banks. *2 A prominent multivariate analysis method, which makes it possible to statistically discover which features of a product or service consumers value the most, and what combination(s) of factors are most popular among consumers.
The time series analysis method and multivariate analysis method are used for this automatic measuring method, and in numerical diagnoses such as the efficacy of medicines, disease determination, and cardiac function evaluation method using measured characteristics.§2 Research into medical care and public welfare Now that we are entering the 21st century, it is more important than ever to make medical care and public welfare satisfactory.
Unsupervised Multivariate Analyses for NMR- based Metabolomics.
Application note"Unsupervised Multivariate Analyses for NMR-based Metabolomics"(NM170013).
In multivariate analyses, WBC count(≥20× 109/L) and age(>3 years) were independent predictors of lower EFS.
By the multivariate analyses, it was suggested that there were several occurrence patterns identified of how errors occur at nuclear power platns and also there were effective preventive measures for each human errors.
Please see detail of an actual NMR-MP study using projections of 2D J-resolved spectra in our application note"Unsupervised Multivariate Analyses for NMR-based Metabolomics"(NM170013)[4].