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The elements of statistical learning: data mining, inference, and prediction : with 200 full-color illustrations/ Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Series: Springer series in statisticsPublication details: New York: Springer, c2001.Description: xvi, 533 p.: col. ill.; 25 cmISBN:- 0387952845 (alk. paper)
- 519.5 H356e
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Books
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Castorina Estantes Abertas (Open Shelves) | Livros (Books) | 519.5 H356e 2001 IMPA (Browse shelf(Opens below)) | 1 | Available | 39063000630411 |
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| 519.5 H264s 1991 IMPA Smoothing techniques: with implementation in S/ | 519.5 H329b 1983 IMPA Bayes theory/ | 519.5 H337e 1979 IMPA Exploratory data analysis/ | 519.5 H356e 2001 IMPA The elements of statistical learning: data mining, inference, and prediction : with 200 full-color illustrations/ | 519.5 H356e 2017 IMPA The elements of statistical learning: data mining, inference, and prediction/ | 519.5 H356s 2015 IMPA Statistical learning with sparsity: the lasso and generalizations/ | 519.5 H393i 1980 IMPA Identification of outliers/ |
Includes bibliographical references (p. [509]-522) and indexes.
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