From Statistical Physics to Statistical Inference And Back

Statistics for Advanced Practice Nurses and Health Professionals (Repost)  eBooks & eLearning

Posted by manamba13 at Feb. 27, 2015
Statistics for Advanced Practice Nurses and Health Professionals (Repost)

Statistics for Advanced Practice Nurses and Health Professionals by Manfred Stommel PhD
English | 2014 | ISBN: 0826198244 | 352 Pages | PDF | 2 MB

This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of clinical research articles
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Repost)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction By Trevor Hastie, Robert Tibshirani, Jerome Friedman
2003 | 552 Pages | ISBN: 0387952845 | PDF | 19 MB
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Repost)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie
English | PDF | 2009 | 764 Pages | ISBN : 0387848576 | 20.64 MB

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting–-the first comprehensive treatment of this topic in any book.

An Introduction to Evidence Based Statistics  eBooks & eLearning

Posted by arundhati at Sept. 11, 2020
An Introduction to Evidence Based Statistics

Peter M. B. Cahusac, "An Introduction to Evidence Based Statistics"
English | ISBN: 1119549809 | 2020 | 256 pages | PDF | 5 MB
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition (repost)

Trevor Hastie, Robert Tibshirani, Jerome Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition"
English | 2009 | ISBN: 0387848576 | 767 pages | PDF | 15.2 MB

An Introduction to Evidence Based Statistics  eBooks & eLearning

Posted by libr at Feb. 8, 2021
An Introduction to Evidence Based Statistics

An Introduction to Evidence Based Statistics by Peter M. B. Cahusac
English | Sep 23, 2020 | ISBN: 1119549809 | 256 pages | EPUB | 5 MB

Statistics for Advanced Practice Nurses and Health Professionals  eBooks & eLearning

Posted by insetes at May 9, 2022
Statistics for Advanced Practice Nurses and Health Professionals

Statistics for Advanced Practice Nurses and Health Professionals By Manfred Stommel PhD, Katherine J. Dontje PhD FNP-BC
2014 | 352 Pages | ISBN: 0826198244 | PDF | 2 MB
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition) [Repost]

Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition)
Published: 2011-04-12 | ISBN: 0387848576 | PDF + DJVU | 745 pages | 23 MB

GARCH Models: Structure, Statistical Inference and Financial Applications  eBooks & eLearning

Posted by fdts at Dec. 29, 2014
GARCH Models: Structure, Statistical Inference and Financial Applications

GARCH Models: Structure, Statistical Inference and Financial Applications
by Christian Francq, Jean-Michel Zakoian
English | 2010 | ISBN: 0470683910 | 504 pages | PDF | 4.28 MB

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

Posted by tarantoga at Feb. 15, 2016
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition"
ISBN: 0387848576 | 2009 | EPUB | 745 pages | 13 MB