10 JUL 2026 - Back up to full speed! Let's be honest: for the last few months, TorrentFunk was painfully slow. Pages crawled, searches dragged, and just loading the site tested everyone's patience. We hunted the problem down to our network and rebuilt it from the ground up — smarter caching, a much bigger and faster connection, and a lot of fine-tuning under the hood. The difference is night and day: the site now loads in a fraction of a second. No more waiting around. Thanks for sticking with us through the slow spell. Now go discover your funk!
TORRENT DETAILS
Classification And Regression Trees [Epub] [StormRG]
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
Author: Leo Breiman, Jerome Friedman, Charles J. Stone, R.A. Olshen Series: Wadsworth Statistics/Probability Paperback: 368 pages Publisher: Chapman and Hall/CRC; 1 edition (January 1, 1984) Language: English ISBN-10: 0412048418 ISBN-13: 978-0412048418 Format: Retail Epub Reader Required: Adobe Digital Editions, Calibre, MoonReader for Android
NOTE: no PDF available, if you want it to scroll like a PDF just read it in Calibre.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
Tested on the above readers with no problems on laptop and Android tablet.
Don't hesitate to PM me if you have any questions or problem with the download, as comments on the torrent are easy to miss. Please allow a couple
seconds for the seedboxes to kick in, then it should move pretty quick.
Hope it helps in your studies. Go for it! :D
Cover from actual book file
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.