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Statistical Models in S by [T.J. Hastie]

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Statistical Models in S 1st Edition, Kindle Edition

4.7 out of 5 stars 5 ratings

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Kindle Edition, Nov. 1 2017
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Product details

  • ASIN ‏ : ‎ B08QYG4NKF
  • Publisher ‏ : ‎ Routledge; 1st edition (Nov. 1 2017)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 60034 KB
  • Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Not enabled
  • Enhanced typesetting ‏ : ‎ Not Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 624 pages
  • Customer Reviews:
    4.7 out of 5 stars 5 ratings

About the author

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Trevor Hastie is the John A Overdeck Professor of Statistics at

Stanford University. Hastie is known for his research in applied

statistics, particularly in the fields of statistical modeling, bioinformatics

and machine learning. He has published six books and over 200

research articles in these areas. Prior to joining Stanford

University in 1994, Hastie worked at AT&T Bell Laboratories for nine

years, where he contributed to the development of the statistical modeling environment

popular in the R computing system. He received a B.Sc. (hons) in statistics

from Rhodes University in 1976, a M.Sc. from the University of Cape

Town in 1979, and a Ph.D from Stanford in 1984. In 2018 he was elected

to the U.S. National Academy of Sciences. He is a dual citizen of the

United States and South Africa.

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Nathan B. Smith
5.0 out of 5 stars A seminal work for S (and R) from the pioneers at AT&T Bell Labs
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on August 18, 2022
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Ramon A. MataToledo
5.0 out of 5 stars Still good
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on February 2, 2021
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R. J. V. Jackson
4.0 out of 5 stars Modelling data with the S (or R) language
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on September 3, 2013
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4.0 out of 5 stars Good and useful.
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on April 7, 2016
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