books by T. Hastie
books:
T. Hastie
Generalized Additive Models (Monographs on Statistics and Applied Probability)
T.J. Hastie
,
R.J. Tibshirani
Chapman & Hall/CRC
, 1990
nice generalization of linear models
Believe it or not this important topic in applied statistics was developed by Hastie and Tibshirani when they were graduate students, a sure sign of greatness to come. After their graduation this highly acclaimed book came out explaining both the theory and pratice of ...
Statistical Models in S
Chapman & Hall/CRC
, 1991
This is "the white book", an essential S-PLUS reference.
S programmers refer to this as "the white book", and it is a key reference for understanding the methods implemented in several of S-PLUS' high-end statistical functions, including 'lm()', predict()', 'design()', 'aov()', 'glm()', 'gam()', 'loess()', 'tree()', ...
Sex-related psychological predictors of baseline pain perception and analgesic responses to pentazocine [An ...
R.B. Fillingim
,
B.A. Hastie
, ...
Elsevier
, 2005
This digital document is a journal article from Biological Psychology, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser. Description: Sex differences in pain perception and analgesic responses have garnered ...
The Elements of Statistical Learning
T. Hastie,
R. Tibshirani
, ...
Springer
, 2003
data mining from the viewpoint of statisticians
Data mining is a field developed by computer scientists but many of its crucial elements are imbedded in important and subtle statistical concepts. Statisticians can play an important role in the development of this field but as was the case with artificial ...
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