Examples of using Statistical methods in English and their translations into Italian
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Ecclesiastic
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Computer
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Official/political
Statistical Methods in Applied Science.
For A/B Testing, there two main statistical methods.
Statistical methods for validating analytical procedures.
Application and extension of statistical methods in biomedical research.
Statistical methods for causal analysis in the social sciences.
People also translate
Knowledge of statistics(“Statistical methods in psychology”) is helpful.
It is a statistical criterion, obtained by statistical methods.
Examples of statistical methods for the analysis of social problems.
European Union balance of payments: international investment position statistical methods», May 2007.
Adoption of new practices, common statistical methods and new forms of co- operation.
processing statistical methods.
Agresti Alan and Finlay Barbara(2009)"Statistical Methods for the Social Sciences".
Regardless of the statistical methods used, important considerations in the analysis of RCT data include:
European Union balance of payments/ international investment position statistical methods», November 2001.
In particular, issues such as statistical methods and endpoint reporting remain unresolved.
Accession countries: Balance of payments/ international investment position statistical methods», February 2002.
Statistics a a thorough description of the statistical methods to be employed; b the number of patients planned to be Included.
see« European Union balance of payments/ international investment position statistical methods», ECB, November 2005.
Analysis is conducted using statistical methods based on current customer data
we work with sophisticated statistical methods to track down the fraudsters.».
With the approval of the competent authorities, statistical methods may be used to allocate the premiums
balance of payments/ international investment position statistical methods» was released in November 2001.
However modern statistical methods, econometric models
data will be examined systematically using statistical methods to identify areas which are particularly susceptible to fraud.
Statistical methods leverage elements from machine learning such as latent semantic analysis,
Preventing the possibility of abandonment of clients with multi-varied statistical methods is a fundamental competitive advantage for companies.
Nonetheless, the current statistical methods, which are based on the turnover figure,
he/she must be able to estimate using also Bayesian statistical methods the main inputs for portfolio modelling.
However modern statistical methods, econometric models