Examples of using Data analysis methods in English and their translations into Portuguese
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Published in the data analysis methods.
Gain in-depth technical skills in scalable data collection techniques and data analysis methods.
Data analysis methods were cumulative patency, using the Kaplan-Meier method, and simple percentage for other results.
The methodology module covers observational techniques, data analysis methods, detectors, and numerical methods. .
The comparability and availability of environmental data collected in the Member States and the choice of data analysis methods.
As gathering and data analysis methods are used physical measurements and questionnaires, statistical analysis and space syntax techniques.
Table 2 presents a description of the instruments used in each study, the data analysis methods and the main thematic categories.
Therefore, when preparing and writing the Master's thesis, the student will learn to apply one ormore methods for comparing and evaluating statistical data analysis methods.
Regarding data collection,was marked by semi-structured interviews, and data analysis, methods of content analysis bardin, 2011.
As previously mentioned, the data analysis methods employed by Teramoto et al. differed from those employed in the present study, which precludes the comparison between their results and our results.
The comparability and availability of environmental data collected in the Member States and the choice of data analysis methods.
Coursework includes accounting concepts and procedures, data analysis, methods of detecting fraud and tracing illicit funds, the steps of due diligence, and damage assessment.
Evidence knowledge in the use of different research methodologies in Counseling andexhibit skills in the use of data analysis methods.
To address the issue,the authors used different research or data analysis methods, which are provided in Table 2and described in the very texts.
A large variety of chemoinformatic tools have been developed in the last years,covering from structural representation to data analysis methods.
I have been applying Biomechanics associated with traditional and sophisticated data analysis methods to understand the effects of ageing and injuries on running biomechanical patterns.
But social media category website is really user relationships and content organization can analyze the point, want to have that experience,friends can share some of the data analysis methods and instance.
Most of the quantitative studies used statistical data analysis methods, while the qualitative ones primarily used content analysis followed by ATLAS Ti software n=3.
The major Computational Statistics offers a balance between courses focusing on statistical data analysis methods and data bases and programming skills.
In such projects, statistical data analysis methods are often compared and sometimes new methods are developed which require evaluation to show their additional value over existing methods. .
Make rational decisions based on gained understanding of decision-making strategies, frameworks,tools, and data analysis methods in global networks and markets.
The employed data analysis methods consisted of exploratory factor analysis, and linear regression analysis combined with heteroskedasticity correction and cluster analysis. .
The study of complex samples such as food, drugs, andbiological fluids require a robust data analysis methods, since these samples may contain information tens of thousands of constituents.
Focusing on modern and rigorous data analysis methods, this track covers regression analysis, time-series and forecasting methods, panel-data models, visualization techniques for big data and more.
The specialization is suitable for students who want to build a solid basis in statistical data analysis methods and is an ideal preparation for students aiming to undertake a PhD project on statistical data analysis methods.
Choose suitable data analysis methods for the analysis tasks at hand from a reasonably wide selection of methods, including methods that are necessary for integrating data from different data sources during data preprocessing and/or analysis. .
To equip students with a competent understanding of research and data analysis methods, including modelling, estimation, use of statistical software packages, access to databases, and data acquisition Contents.
However, regarding costs,it can be stated that there is a huge variation in the data analysis methods reported in the literature and the objective was to attain an approximation of hospital costs to compare the newborns exposed to ACS or to those who were not exposed.
Verify the practical use in which the data analysis method is established and its efficacy is verified.
With respect to the data analysis, the frequency of criterion 12 increased from 31% to 53%,that is, the papers using theory explained the data analysis method at a higher frequency.