book.bib

@article{huber50,
author = {J. Huber, Peter},
year = {2011},
month = {01},
pages = {},
title = {Data Analysis: What Can be Learned from the Past 50 Years},
doi = {10.1002/9781118018255}
}
@article{tukeyda,
author = "Tukey, John W.",
doi = "10.1214/aoms/1177704711",
fjournal = "The Annals of Mathematical Statistics",
journal = "Ann. Math. Statist.",
month = "03",
number = "1",
pages = "1--67",
publisher = "The Institute of Mathematical Statistics",
title = "The Future of Data Analysis",
url = "https://doi.org/10.1214/aoms/1177704711",
volume = "33",
year = "1962"
}
@article{donoho50,
author = {David Donoho},
title = {50 Years of Data Science},
journal = {Journal of Computational and Graphical Statistics},
volume = {26},
number = {4},
pages = {745-766},
year  = {2017},
publisher = {Taylor & Francis},
doi = {10.1080/10618600.2017.1384734},
URL = {https://doi.org/10.1080/10618600.2017.1384734},
eprint = {https://doi.org/10.1080/10618600.2017.1384734}
}
@Book{xie2015,
  title = {Dynamic Documents with {R} and knitr},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2015},
  edition = {2nd},
  note = {ISBN 978-1498716963},
  url = {http://yihui.name/knitr/},
}
@book{tufte06,
  added-at = {2017-06-17T22:10:30.000+0200},
  address = {Cheshire, CT},
 author = {Tufte, Edward R.},
 biburl = {https://www.bibsonomy.org/bibtex/268b03ee21911d109ddab08424df2357a/flint63},
  file = {Graphics Press Product page:http\://www.edwardtufte.com/tufte/books_be:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/0961392177/:URL},
  groups = {public},
  interhash = {ce895fcb0083acbded29017b98331187},
  intrahash = {68b03ee21911d109ddab08424df2357a},
  isbn = {978-0-9613921-7-8},
  keywords = {01624 101 book shelf information graphics design cognitive science},
  publisher = {Graphics Press},
  timestamp = {2017-07-13T17:15:29.000+0200},
  title = {Beautiful Evidence},
  username = {flint63},
  year = 2006
}
@book{sleuth,
  added-at = {2011-08-22T09:44:59.000+0200},
  asin = {0534386709},
  author = {Ramsey, Fred and Schafer, Daniel},
  biburl = {https://www.bibsonomy.org/bibtex/2315e0b6de77ccf942fda05256885d642/vivion},
  description = {Amazon.com: The Statistical Sleuth: A Course in Methods of Data Analysis (9780534386702): Fred Ramsey, Daniel Schafer: Books},
  dewey = {519.5},
  ean = {9780534386702},
  edition = 2,
  interhash = {9e51e06e423bc344a003023f30b6417e},
  intrahash = {315e0b6de77ccf942fda05256885d642},
  isbn = {0534386709},
  keywords = {analysis data methods statistical},
  publisher = {Duxbury Press},
  timestamp = {2011-08-22T09:45:00.000+0200},
  title = {The Statistical Sleuth: A Course in Methods of Data Analysis},
  url = {http://www.amazon.com/Statistical-Sleuth-Course-Methods-Analysis/dp/0534386709},
  year = 2002
}
@article{Guber2011,
author = {Guber, Deborah Lynn},
year = {1999},
month = {01},
pages = {},
title = {Getting What You Pay For: The Debate Over Equity in Public School Expenditures},
volume = {7},
journal = {Journal of Statistics Education}
}
@article{chambers83,
  added-at = {2011-08-10T15:21:49.000+0200},
  author = {Chambers, J.M. and Cleveland, W.S. and Kleiner, B. and Tukey, P.A.},
  biburl = {https://www.bibsonomy.org/bibtex/2fcaa7d509ee361fe687769b40d07100f/lutzm},
  date-added = {2007-09-03 22:45:16 -0500},
  date-modified = {2007-09-03 22:45:16 -0500},
  interhash = {7834ca99c9054de232d723a476be2827},
  intrahash = {fcaa7d509ee361fe687769b40d07100f},
  journal = {The Wadsworth Statistics/Probability Series. Boston, MA: Duxury},
  keywords = {diplom},
  timestamp = {2011-08-10T15:21:49.000+0200},
  title = {{Graphical Methods for Data Analysis}},
  year = 1983
}
@article{timboot14,
author = {Hesterberg, Tim},
year = {2014},
month = {11},
pages = {},
title = {What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum},
volume = {69},
journal = {The American Statistician},
doi = {10.1080/00031305.2015.1089789}
}
@book{box78,
  title={Statistics for experimenters: an introduction to design, data analysis, and model building},
  author={Box, G.E.P. and Hunter, W.G. and Hunter, J.S.},
  isbn={9780471093152},
  series={Wiley series in probability and mathematical statistics: Applied probability and statistics},
  year={1978},
  publisher={Wiley}
}
@article{cookwasps,
title = "Using visual statistical inference to better understand random class separations in high dimension, low sample size data",
keywords = "Data mining, Lineup, Projection pursuit, Statistical graphics, Visualization",
author = "{Roy Chowdhury}, Niladri and Dianne Cook and Heike Hofmann and Mahbubul Majumder and Lee, {Eun Kyung} and Toth, {Amy L.}",
year = "2014",
month = "11",
day = "2",
doi = "10.1007/s00180-014-0534-x",
language = "English (US)",
volume = "30",
pages = "293--316",
journal = "Computational Statistics",
issn = "0943-4062",
publisher = "Springer Verlag",
number = "2",
}
@article{falsefindings,
    author = {Ioannidis, John P. A.},
    journal = {PLOS Medicine},
    publisher = {Public Library of Science},
    title = {Why Most Published Research Findings Are False},
    year = {2005},
    month = {08},
    volume = {2},
    url = {https://doi.org/10.1371/journal.pmed.0020124},
    pages = {},
    abstract = {Published research findings are sometimes refuted by subsequent evidence, says Ioannidis, with ensuing confusion and disappointment.},
    number = {8},
    doi = {10.1371/journal.pmed.0020124}
}
@Book{ESL,
  author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
  biburl = {https://www.bibsonomy.org/bibtex/2f58afc5c9793fcc8ad8389824e57984c/sb3000},
  publisher = {Springer New York Inc.},
  series = {Springer Series in Statistics},
  url = {http://web.stanford.edu/~hastie/ElemStatLearn/},
  title = {The Elements of Statistical Learning},
  year = 2017
}
@misc{bootefron,
  added-at = {2010-07-23T07:14:55.000+0200},
  author = {Efron, B. and Tibshirani, R.},
  biburl = {https://www.bibsonomy.org/bibtex/25e453c8ff829437e8b0010281b07eab7/richterek},
  interhash = {ea5821249b52ce553868b8151c980623},
  intrahash = {5e453c8ff829437e8b0010281b07eab7},
  keywords = {special\_relativity},
  mendeley-tags = {special\_relativity},
  publisher = {Macmillan Publishers Limited. All rights reserved},
  timestamp = {2010-07-23T07:14:59.000+0200},
  title = {{An Introduction to the Bootstrap}},
  type = {Miscellaneous},
  year = 1993
}
@book{ClevelandVis,
 author = {Cleveland, William S.},
 title = {Visualizing Data},
 year = {1993},
 isbn = {0963488406},
 publisher = {Hobart Press},
} 
@article{lineup,
 author = {Wickham, Hadley and Cook, Dianne and Hofmann, Heike and Buja, Andreas},
 title = {Graphical Inference for Infovis},
 journal = {IEEE Transactions on Visualization and Computer Graphics},
 issue_date = {November 2010},
 volume = {16},
 number = {6},
 month = nov,
 year = {2010},
 issn = {1077-2626},
 pages = {973--979},
 numpages = {7},
 url = {https://doi.org/10.1109/TVCG.2010.161},
 doi = {10.1109/TVCG.2010.161},
 acmid = {1907980},
 publisher = {IEEE Educational Activities Department},
 address = {Piscataway, NJ, USA},
 keywords = {Statistics, Statistics, visual testing, permutation tests, null hypotheses, data plot, data plot, null hypotheses, permutation tests, visual testing},
} 
@Manual{nullabor,
    title = {nullabor: Tools for Graphical Inference},
    author = {Hadley Wickham and Niladri Roy Chowdhury and Di Cook and Heike Hofmann},
    year = {2018},
    note = {R package version 0.3.5},
    url = {https://CRAN.R-project.org/package=nullabor},
  }
@Manual{tidyverse,
    title = {tidyverse: Easily Install and Load the 'Tidyverse'},
    author = {Hadley Wickham},
    year = {2017},
    note = {R package version 1.2.1},
    url = {https://CRAN.R-project.org/package=tidyverse},
  }
@Manual{bookdown,
    title = {bookdown: Authoring Books and Technical Documents with R Markdown},
    author = {Yihui Xie},
    year = {2019},
    note = {R package version 0.13},
    url = {https://github.com/rstudio/bookdown},
  }
@article{hundred,
 author = {Fern\'{a}ndez-Delgado, Manuel and Cernadas, Eva and Barro, Sen{\'e}n and Amorim, Dinani},
 title = {Do We Need Hundreds of Classifiers to Solve Real World Classification Problems?},
 journal = {J. Mach. Learn. Res.},
 issue_date = {January 2014},
 volume = {15},
 number = {1},
 month = jan,
 year = {2014},
 issn = {1532-4435},
 pages = {3133--3181},
 numpages = {49},
 url = {http://dl.acm.org/citation.cfm?id=2627435.2697065},
 acmid = {2697065},
 publisher = {JMLR.org},
 keywords = {Bayesian classifiers, UCI data base, classification, decision trees, discriminant analysis, ensembles, generalized linear models, logistic and multinomial regression, multiple adaptive regression splines, nearest-neighbors, neural networks, partial least squares and principal component regression, random forest, rule-based classifiers, support vector machine},
}
@book{GelmanHill,
  added-at = {2011-08-15T12:47:13.000+0200},
  asin = {052168689X},
  author = {Gelman, Andrew and Hill, Jennifer},
  biburl = {https://www.bibsonomy.org/bibtex/201c2497e4ffea441a9835d0f05160dd7/vivion},
  description = {Amazon.com: Data Analysis Using Regression and Multilevel/Hierarchical Models (9780521686891): Andrew Gelman, Jennifer Hill: Books},
  dewey = {519.536},
  ean = {9780521686891},
  edition = 1,
  interhash = {3a8313c400b72653645c195a19c1eb02},
  intrahash = {01c2497e4ffea441a9835d0f05160dd7},
  isbn = {052168689X},
  keywords = {statistics},
  publisher = {Cambridge University Press},
  timestamp = {2011-08-15T12:47:13.000+0200},
  title = {Data Analysis Using Regression and Multilevel/Hierarchical Models},
  url = {http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X/ref=sr_1_1?s=books&ie=UTF8&qid=1313405184&sr=1-1},
  year = 2006
}
@book{izenman,
 author = {Izenman, Alan Julian},
 title = {Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning},
 year = {2008},
 isbn = {0387781889, 9780387781884},
 edition = {1},
 publisher = {Springer Publishing Company, Incorporated},
} 
@article{rfintervals,
author = {Haozhe Zhang and Joshua Zimmerman and Dan Nettleton and Daniel J. Nordman},
title = {Random Forest Prediction Intervals},
journal = {The American Statistician},
volume = {0},
number = {0},
pages = {1-15},
year  = {2019},
publisher = {Taylor & Francis},
doi = {10.1080/00031305.2019.1585288}
}
@Manual{rfintervalpkg,
    title = {rfinterval: Predictive Inference for Random Forests},
    author = {Haozhe Zhang},
    year = {2019},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=rfinterval},
}
@book{Bishop,
 author = {Bishop, Christopher M.},
 title = {Pattern Recognition and Machine Learning (Information Science and Statistics)},
 year = {2006},
 isbn = {0387310738},
 publisher = {Springer-Verlag},
 address = {Berlin, Heidelberg},
} 
@Article{glmnet,
    title = {Regularization Paths for Generalized Linear Models via Coordinate Descent},
    author = {Jerome Friedman and Trevor Hastie and Robert Tibshirani},
    journal = {Journal of Statistical Software},
    year = {2010},
    volume = {33},
    number = {1},
    pages = {1--22},
    url = {http://www.jstatsoft.org/v33/i01/},
  }
@book{chitim,
  title={Mathematical Statistics with Resampling and R},
  author={Chihara, L.M. and Hesterberg, T.C.},
  isbn={9781118029855},
  lccn={2011026144},
  url={https://books.google.com.mx/books?id=9KRHFDKDV84C},
  year={2011},
  publisher={Wiley}
}
  @Article{factominer,
    title = {{FactoMineR}: A Package for Multivariate Analysis},
    author = {S\'ebastien L\^e and Julie Josse and Fran\c{c}ois Husson},
    journal = {Journal of Statistical Software},
    year = {2008},
    volume = {25},
    number = {1},
    pages = {1--18},
    doi = {10.18637/jss.v025.i01},
  }
@book{missingrubin,
  added-at = {2012-09-09T11:27:10.000+0200},
  author = {Little, R.J.A. and Rubin, D.B.},
  biburl = {https://www.bibsonomy.org/bibtex/2b2fb20df470898e82317fb855c088703/peter.ralph},
  interhash = {3afe77a956d4d25ef971f22ee3172776},
  intrahash = {b2fb20df470898e82317fb855c088703},
  isbn = {9780471183860},
  keywords = {missing_data statistics},
  lccn = {2002027006},
  publisher = {Wiley},
  series = {Wiley series in probability and mathematical statistics. Probability and mathematical statistics},
  timestamp = {2012-09-09T11:27:10.000+0200},
  title = {Statistical analysis with missing data},
  url = {http://books.google.com/books?id=aYPwAAAAMAAJ},
  year = 2002
}
@book{puppies,
 author = {Kruschke, John K.},
 title = {Doing Bayesian Data Analysis: A Tutorial with R and BUGS},
 year = {2010},
 isbn = {0123814855, 9780123814852},
 edition = {1st},
 publisher = {Academic Press, Inc.},
 address = {Orlando, FL, USA},
} 
@book{deepbook,
 author = {Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
 title = {Deep Learning},
 year = {2016},
 isbn = {0262035618, 9780262035613},
 publisher = {The MIT Press},
}
@Article{mice,
    title = {{mice}: Multivariate Imputation by Chained Equations in R},
    author = {Stef {van Buuren} and Karin Groothuis-Oudshoorn},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {45},
    number = {3},
    pages = {1-67},
    url = {https://www.jstatsoft.org/v45/i03/},
  }