Biostatistics - A Computing Approach (2011) Pdf Free Download

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The nature of statistical science has been altered drastically in the last few years due to the advent of easy access to high speed personal computers and the wide availability of powerful and well–designed software. In the past, much of the focus of statistical science was understanding both the very large sample (asymptotic) behavior and the very small sample behavior of test statistics. Today, we have the computational tools to investigate how statistical modeling and testing work when the sample sizes are in a “moderate range.” Many real-world applications involve these moderately sized datasets.
At the other end of the spectrum, we now have datasets that are extremely large but the complexity is such that large sample behavior may be difficult to describe mathematically. Modern computating and graphical tools facilitate the identification of patterns in these complex datasets that can be helpful in the initiation of understanding their mathematical behavior. Consequently, the emergence of high speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years. These methods have greatly broadened the landscape of available tools in statistical investigations of complex data.

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