Examples of using Analysis techniques in English and their translations into Portuguese
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Data Analysis Techniques.
Experience and numerical analysis techniques.
Failure analysis techniques can be seen in, and.
Highly sensitive measurement technology with adapted analysis techniques.
Use of risk analysis techniques is to be even further improved.
People also translate
Key focus is also given to competitor evaluation and analysis techniques.
Statistical analysis techniques for small and large datasets.
The charting of price patterns is one of the classic technical analysis techniques.
Thematic content analysis techniques were applied to the interviews.
The interviews were recorded, transcribed andanalyzed with the help of content analysis techniques.
Using metabolite analysis techniques to simplify cancer examinations.
Engineers in this field develop new operating system architecture, program analysis techniques, and new techniques to assure quality.
Survival analysis techniques(Kaplan-Meier and Cox) were used.
Its corpus was examined by means of content analysis techniques, as taught by laurence bardin.
Analysis techniques for electrochemical, chemical, and electrical energy storage devices Metrohm.
Implementation of multiple analysis techniques to cover countless applications.
Run analysis techniques in food and the environment where they are prepared to ensure quality and safety.
Instrument simulations and data analysis techniques in X-ray astronomy, BE.EP. PD.
Chemical analysis techniques were used to say the total amount of phe and the calories of each formula.
In addition to replacing onerous laboratorial analysis techniques with time-consuming, complex and dependent results.
The analysis techniques most frequently used to determine heart rate variability are obtained in the time and frequency domains.
The study methodology uses a qualitative approach through procedures based on three text analysis techniques, namely, condensation, categorization and interpretation.
Our sophisticated analysis techniques allow us to map your organisation's current profile.
Apply knowledge of data analysis techniques in different domains and new areas;
Multivariate analysis techniques are increasingly being used for inferences on the dietary pattern DP in nutritional epidemiology.
Next, for each of this study's hypotheses, the data analysis techniques that were found to be most appropriate for testing the study's objectives are detailed.
As analysis techniques were adopted tabular analyzes, descriptive analyses and the student¿s t-test for comparison of averages and proportions, respectively.
Closely related and complementary analysis techniques include the population balance, energy balance and the somewhat more complex entropy balance.
Multivariate analysis techniques are frequently used to examine landscape level vegetation patterns.
We use texture analysis techniques for extracting useful information that allow the discrimination between normal and tumor tissues.