The Elements of Statistical Learning

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  The Elements of Statistical Learning: Data Mining, Inference, and Prediction

  By Trevor Hastie, Robert Tibshirani, Jerome Friedman

  C4.5: Programs for Machine Learning, Morgan Kaufmann, San Mateo. Ramsay, J. and Silverman, B. (1997). Functional Data Analysis, Springer Verlag. Rao, C. R. (1973). Linear Statistical Inference and Its Applications, Wiley, New York.

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  The Elements of Statistical Learning: Data Mining, Inference, and Prediction

  By Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

  Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework.

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  The Elements of Statistical Learning: Data Mining, Inference, and Prediction

  By R. Tibshirani, J. Friedman

  ; Many of these tools have common underpinnings but are often expressed with different terminology.; This book describes the important ideas in these areas in a common conceptual framework.

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  The Elements of Statistical Learning

  By Keith Glover

  There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in ...

• 

  The Elements of Statistical Learning: Data Mining, Inference, and Prediction

  By Trevor Hastie, Robert Tibshirani, Jerome Friedman

  Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework.