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The methods of computational statistics can provide assistance ranging from preliminary exploratory data analysis to sophisticated probability density estimation techniques, Monte Carlo methods, and powerful multi-dimensional visualization.
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The advent of computers with their number-crunching capability, as well as their power to show on the screen two- and three-dimensional structures, has made computational statistics available for any data analyst to use.Ĭomputational statistics has a lot to offer the researcher faced with a file full of numbers. While much of classical statistics relies on parameterized functions and related assumptions, the computational statistics approach is to let the data tell the story. Computational statistics is a fascinating and relatively new field within statistics.
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