referencias.bib

@article{knuth84,
  author = {Knuth, Donald E.},
  title = {Literate Programming},
  year = {1984},
  issue_date = {May 1984},
  publisher = {Oxford University Press, Inc.},
  address = {USA},
  volume = {27},
  number = {2},
  issn = {0010-4620},
  url = {https://doi.org/10.1093/comjnl/27.2.97},
  doi = {10.1093/comjnl/27.2.97},
  journal = {Comput. J.},
  month = may,
  pages = {97–111},
  numpages = {15}
}
@article{macmahon81,
author = {MacMahon, Brian and Yen, Stella and Trichopoulos, Dimitrios and Warren, Kenneth and Nardi, George},
title = {Coffee and Cancer of the Pancreas},
journal = {New England Journal of Medicine},
volume = {304},
number = {11},
pages = {630-633},
year = {1981},
doi = {10.1056/NEJM198103123041102},
    note ={PMID: 7453739},
URL = {
        https://doi.org/10.1056/NEJM198103123041102
},
eprint = {
        https://doi.org/10.1056/NEJM198103123041102}}

@article{tukeyexpconf,
 ISSN = {00031305},
 URL = {http://www.jstor.org/stable/2682991},
 abstract = {We often forget how science and engineering function. Ideas come from previous exploration more often than from lightning strokes. Important questions can demand the most careful planning for confirmatory analysis. Broad general inquiries are also important. Finding the question is often more important than finding the answer. Exploratory data analysis is an attitude, a flexibility, and a reliance on display, NOT a bundle of techniques, and should be so taught. Confirmatory data analysis, by contrast, is easier to teach and easier to computerize. We need to teach both; to think about science and engineering more broadly; to be prepared to randomize and avoid multiplicity.},
 author = {John W. Tukey},
 journal = {The American Statistician},
 number = {1},
 pages = {23--25},
 publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
 title = {We Need Both Exploratory and Confirmatory},
 volume = {34},
 year = {1980}
}
@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.org/knitr/},
}
@article {kidney94,
	author = {Julious, Steven A and Mullee, Mark A},
	title = {Confounding and Simpson{\textquoteright}s paradox},
	volume = {309},
	number = {6967},
	pages = {1480--1481},
	year = {1994},
	doi = {10.1136/bmj.309.6967.1480},
	publisher = {BMJ Publishing Group Ltd},
	issn = {0959-8138},
	URL = {https://www.bmj.com/content/309/6967/1480},
	eprint = {https://www.bmj.com/content},
	journal = {BMJ}
}
@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{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{box78model,
  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}
}
@book{izenman,
  title={Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning},
  author={Izenman, A.J.},
  isbn={9780387781891},
  lccn={2008928720},
  series={Springer Texts in Statistics},
  url={https://books.google.com.mx/books?id=1CuznRORa3EC},
  year={2009},
  publisher={Springer New York}
}
@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{factominer08,
   author = {Sébastien Lê and Julie Josse and François Husson},
   title = {FactoMineR: An R Package for Multivariate Analysis},
   journal = {Journal of Statistical Software, Articles},
   volume = {25},
   number = {1},
   year = {2008},
   keywords = {},
   abstract = {In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a hierarchy on the variables, a partition on the individuals) and finally supplementary information (supplementary individuals and variables). Moreover, the dimensions issued from the different exploratory data analyses can be automatically described by quantitative and/or categorical variables. Numerous graphics are also available with various options. Finally, a graphical user interface is implemented within the Rcmdr environment in order to propose an user friendly package.},
   issn = {1548-7660},
   pages = {1--18},
   doi = {10.18637/jss.v025.i01},
   url = {https://www.jstatsoft.org/v025/i01}
}
@book{rossproba,
  added-at = {2015-09-11T13:23:43.000+0200},
  address = {Upper Saddle River, N.J.},
  author = {Ross, Sheldon M.},
  biburl = {https://www.bibsonomy.org/bibtex/29325f1b3acbc545c7ef14d7fe58c8e28/ytyoun},
  edition = {Fifth},
  interhash = {38276e30c93b62798d658c41f33e037c},
  intrahash = {9325f1b3acbc545c7ef14d7fe58c8e28},
  isbn = {0137463146 9780137463145 013895772X 9780138957728},
  keywords = {probability ross textbook},
  publisher = {Prentice Hall},
  refid = {36900824},
  timestamp = {2016-06-12T12:45:30.000+0200},
  title = {A First Course in Probability},
  year = 1998
}
@article{zuev,
  title={Statistical inference},
  author={Zuev, Konstantin},
  journal={Available at SSRN 3125891},
  year={2018}
}

@article{graphical-tests,
  title={Graphical tests for power comparison of competing designs},
  author={Hofmann, Heike and Follett, Lendie and Majumder, Mahbubul and Cook, Dianne},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  volume={18},
  number={12},
  pages={2441--2448},
  year={2012},
  publisher={IEEE}
}

@article{timboot14,
  title={What teachers should know about the bootstrap: Resampling in the undergraduate statistics curriculum},
  author={Hesterberg, Tim C},
  journal={The American Statistician},
  volume={69},
  number={4},
  pages={371--386},
  year={2015},
  publisher={Taylor \& Francis}
}

@article{falsefindings,
  title={Why most published research findings are false},
  author={Ioannidis, John PA},
  journal={PLoS medicine},
  volume={2},
  number={8},
  pages={e124},
  year={2005},
  publisher={Public Library of Science}
}

@article{nullabor,
  title={nullabor: Tools for graphical inference},
  author={Wickham, H and Chowdhury, NR and Cook, D},
  journal={R package version 0.2},
  volume={1},
  pages={213},
  year={2012}
}

@article{lineup,
  title={Graphical inference for infovis},
  author={Wickham, Hadley and Cook, Dianne and Hofmann, Heike and Buja, Andreas},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  volume={16},
  number={6},
  pages={973--979},
  year={2010},
  publisher={IEEE}
}


@article{cookwasps,
  title={Using visual statistical inference to better understand random class separations in high dimension, low sample size data},
  author={Chowdhury, Niladri Roy and Cook, Dianne and Hofmann, Heike and Majumder, Mahbubul and Lee, Eun-Kyung and Toth, Amy L},
  journal={Computational Statistics},
  volume={30},
  number={2},
  pages={293--316},
  year={2015},
  publisher={Springer}
}


@book{box78,
  title={Statistics for experimenters},
  author={Box, George EP and Hunter, William H and Hunter, Stuart and others},
  volume={664},
  year={1978},
  publisher={John Wiley and sons New York}
}


@book{ramsey,
  title={The statistical sleuth: a course in methods of data analysis},
  author={Ramsey, Fred and Schafer, Daniel},
  year={2012},
  publisher={Cengage Learning}
}


@book{spiegelhalter2019art,
  title={The art of statistics: learning from data},
  author={Spiegelhalter, David},
  year={2019},
  publisher={Penguin UK}
}

@book{Chihara,
    title = {Mathematical Statistics with Resampling and R},
    author = {Laura M. Chihara and Tim C. Hesterberg},
    year = {2018},
    edition = {2},
    publisher = {John Wiley \& Sons},
    address = {Hoboken, NJ},
    url = {https://sites.google.com/site/chiharahesterberg/home},
    isbn = {978-1-119-41653-1},
  }
@book{Efron,
  Title = {An Introduction to the Bootstrap},
  Author = {Bradley Efron and Robert J. Tibshirani},
  Publisher = {Chapman \& Hall/CRC},
  Year = {1993},
  Address = {Boca Raton, Florida, USA},
  Number = {57},
  Series = {Monographs on Statistics and Applied Probability}
}
@article{Hesterberg,
    author = {Tim C. Hesterberg},
    title = {What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics     Curriculum},
    journal = {The American Statistician},
    volume = {69},
    number = {4},
    pages = {371-386},
    year  = {2015},
    publisher = {Taylor \& Francis},
    doi = {10.1080/00031305.2015.1089789},
    note ={PMID: 27019512},
    URL = {
        https://doi.org/10.1080/00031305.2015.1089789

    },
    eprint = {
        https://doi.org/10.1080/00031305.2015.1089789
    }
}

@book{Kruschke,
  author = {Kruschke, John},
  keywords = {diss imported inthesis mixedtrails},
  publisher = {Academic Press},
  title = {Doing Bayesian Data Analysis (Second Edition)},
  year = 2015
}

@book{Wasserman,
  title={All of statistics: a concise course in statistical inference},
  author={Wasserman, Larry},
  year={2013},
  publisher={Springer Science \& Business Media}
}

@article{cleveland1979robust,
  title={Robust locally weighted regression and smoothing scatterplots},
  author={Cleveland, William S},
  journal={Journal of the American statistical association},
  volume={74},
  number={368},
  pages={829--836},
  year={1979},
  publisher={Taylor \& Francis}
}


@book{cleveland93,
 author = {Cleveland, William S.},
 title = {Visualizing Data},
 year = {1993},
 isbn = {0963488406},
 publisher = {Hobart Press},
}
@book{cleveland94,
  author={Cleveland, W.S.},
  title={The Elements of Graphing Data},
  isbn={9780963488411},
  lccn={94075052},
  url={https://books.google.com.mx/books?id=KMsZAQAAIAAJ},
  year={1994},
  publisher={AT\&T Bell Laboratories}
}
@book{tufte86,
 author = {Tufte, Edward R.},
 title = {The Visual Display of Quantitative Information},
 year = {1986},
 isbn = {0-9613921-0-X},
 publisher = {Graphics Press},
 address = {Cheshire, CT, USA},
}
@article{cleveland84,
  added-at = {2012-05-05T17:00:53.000+0200},
  author = {Cleveland, William S. and McGill, Robert},
  biburl = {https://www.bibsonomy.org/bibtex/25234fbbabcf2ac0bfab4f335af2f18ee/procomun},
  copyright = {Copyright © 1984 American Statistical Association},
  file = {Cleveland.McGill1984.pdf:Cleveland.McGill1984.pdf:PDF},
  groups = {public},
  interhash = {8f85e9b8f15a85291d8c1d47c1c42e84},
  intrahash = {5234fbbabcf2ac0bfab4f335af2f18ee},
  issn = {01621459},
  journal = {Journal of the American Statistical Association},
  jstor_articletype = {research-article},
  jstor_formatteddate = {Sep., 1984},
  keywords = {},
  language = {English},
  number = 387,
  pages = {pp. 531-554},
  publisher = {American Statistical Association},
  timestamp = {2012-05-05T17:00:53.000+0200},
  title = {Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods},
  url = {http://www.jstor.org/stable/2288400},
  username = {procomun},
  volume = 79,
  year = 1984
}
@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/},
}

@article{Guber,
  title={Getting what you pay for: The debate over equity in public school expenditures},
  author={Guber, D},
  journal={Journal of Statistics Education},
  volume={7},
  number={2},
  year={1999}
}
@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{tukey77,
  title={Exploratory Data Analysis},
  author={Tukey, J.W.},
  isbn={9780201076165},
  lccn={76005080},
  series={Addison-Wesley series in behavioral science},
  url={https://books.google.com.mx/books?id=UT9dAAAAIAAJ},
  year={1977},
  publisher={Addison-Wesley Publishing Company}
}

@article{schall201,
  title={The empirical coverage of confidence intervals: Point estimates and confidence intervals for confidence levels},
  author={Schall, Robert},
  journal={Biometrical journal},
  volume={54},
  number={4},
  pages={537--551},
  year={2012},
  publisher={Wiley Online Library}
}


@article{RaoWu,
  title={Resampling inference with complex survey data},
  author={Rao, Jon NK and Wu, CFJ},
  journal={Journal of the american statistical association},
  volume={83},
  number={401},
  pages={231--241},
  year={1988},
  publisher={Taylor \& Francis}
}

@article{enigh,
    author = {INEGI},
    year = {2018},
    title = {Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH-2018). Diseño muestral},
    url = {http://internet.contenidos.inegi.org.mx/contenidos/Productos/prod_serv/contenidos/espanol/bvinegi/productos/nueva_estruc/702825070359.pdf},
}


@book{mackay2003,
  title={Information theory, inference and learning algorithms},
  author={MacKay, David JC},
  year={2003},
  publisher={Cambridge university press}
 }

@article{little2011,
author = "Little, Roderick",
doi = "10.1214/10-STS318",
fjournal = "Statistical Science",
journal = "Statist. Sci.",
month = "05",
number = "2",
pages = "162--174",
publisher = "The Institute of Mathematical Statistics",
title = "Calibrated Bayes, for Statistics in General, and Missing Data in Particular",
url = "https://doi.org/10.1214/10-STS318",
volume = "26",
year = "2011"
}

@article{gelmansignif,
  author = { Andrew   Gelman  and  Jennifer   Hill  and  Masanao   Yajima },
  title = {Why We (Usually) Don't Have to Worry About Multiple Comparisons},
  journal = {Journal of Research on Educational Effectiveness},
  volume = {5},
  number = {2},
  pages = {189-211},
  year  = {2012},
  publisher = {Routledge},
  doi = {10.1080/19345747.2011.618213},
  URL = {https://doi.org/10.1080/19345747.2011.618213},
  eprint = {https://doi.org/10.1080/19345747.2011.618213}
}
@book{gelman-hill,
  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{pearl2016causal,
  title={Causal Inference in Statistics: A Primer},
  author={Pearl, J. and Glymour, M. and Jewell, N.P.},
  isbn={9781119186847},
  lccn={2015037219},
  url={https://books.google.com.mx/books?id=L3G-CgAAQBAJ},
  year={2016},
  publisher={Wiley}
}