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|Study of probability models for random variables
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|Statistical technique to model the relationship between variables
|Regression analysis is used by our specialists to discover the nature and strength of correlations, perform regression diagnostics, and provide reliable predictions and inferences.
|Statistical methods that do not rely on specific distribution assumptions
|To evaluate data and develop robust statistical findings, our experts employ nonparametric approaches such as the Mann-Whitney U test, Kruskal-Wallis test, and Wilcoxon signed-rank test.
|Sampling theory is the study of picking a subset of people from a population.
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|Bayesian statistics are statistical inferences based on Bayes' theorem.
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|Methods for determining the optimal solution for a given objective function.
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|Monte Carlo Methods
|Computational algorithms for statistical simulation and integration
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