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Data Driven Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)

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In this computer age, statistical methods like the bootstrap, that can be based solely on the data at hand become very practical. Sprent focusses on the bootstrap, permutation methods and cross-validation. He also covers with other nonparametric techniques. When dealing with modeling techniques he emphasizes robust methods outlier detection and model diagnostics. These are all important tools when applying statistics in the "real world". Many of the techniques are computer-intensive. With the speed of computing increasing at such an amazing rate, methods considered impractical 20 or 25 years ago are now commonplace. This is a very well-written intermediate level statistical text.