statistik_und_datenanalyse.bib.sav.tmp

@book{Sauer2019,
  title = {{Moderne Datenanalyse mit R: Daten einlesen, aufbereiten, visualisieren, modellieren und kommunizieren}},
  shorttitle = {{Moderne Datenanalyse mit R}},
  author = {Sauer, Sebastian},
  year = {2019},
  publisher = {{Springer Fachmedien Wiesbaden}},
  address = {{Wiesbaden}},
  doi = {10.1007/978-3-658-21587-3},
  file = {/media/Daten/Chrissies Dateien/Literatur/Buecher/Moderne Datenanalyse mit R.pdf},
  isbn = {978-3-658-21586-6 978-3-658-21587-3},
  language = {de},
  series = {{FOM-Edition}}
}


@article{Ihaka1996,
  title = {R: {{A Language}} for {{Data Analysis}} and {{Graphics}}},
  shorttitle = {R},
  author = {Ihaka, Ross and Gentleman, Robert},
  year = {1996},
  month = sep,
  volume = {5},
  pages = {299--314},
  publisher = {{Taylor \& Francis}},
  issn = {1061-8600},
  doi = {10.1080/10618600.1996.10474713},
  abstract = {In this article we discuss our experience designing and implementing a statistical computing language. In developing this new language, we sought to combine what we felt were useful features from two existing computer languages. We feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scoping.},
  file = {/media/Daten/Chrissies Dateien/Literatur/R/Ihaka1996.pdf},
  journal = {Journal of Computational and Graphical Statistics},
  number = {3}
}

@book{Ligges2008,
  title = {{Programmieren mit R}},
  author = {Ligges, Uwe},
  year = {2008},
  publisher = {{Springer Berlin Heidelberg}},
  address = {{Berlin, Heidelberg}},
  doi = {10.1007/978-3-540-79998-6},
  file = {/media/Daten/Chrissies Dateien/Literatur/Buecher/Programmieren mit R.pdf},
  isbn = {978-3-540-79997-9 978-3-540-79998-6},
  language = {de}
}



@book{Zuur2009a,
  title = {A Beginner's Guide to {{R}}},
  author = {Zuur, A. F. and Ieno, E. and Meesters, E.},
  year = {2009},
  publisher = {{Springer}},
  file = {/media/Daten/Chrissies Dateien/Literatur/Buecher/A BeginnerS Guide To R.pdf},
  owner = {Chris},
  timestamp = {2011.04.28}
}


@Book{Xie2016,
    title = {bookdown: Authoring Books and Technical Documents with {R} Markdown},
    author = {Yihui Xie},
    publisher = {Chapman and Hall/CRC},
    address = {Boca Raton, Florida},
    year = {2016},
    note = {ISBN 978-1138700109},
    url = {https://github.com/rstudio/bookdown},
  }


@book{RMarkdownGuide,
  title = {R {{Markdown}}: {{The Definitive Guide}}},
  shorttitle = {R {{Markdown}}},
  author = {Xie, Yihui and Allaire, J. J. and Grolemund, Garrett},
  year = {2021},
  abstract = {The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.},
url = {https://bookdown.org/yihui/rmarkdown/}
}





@article{Knuth1984,
  title = {Literate {{Programming}}},
  author = {Knuth, D. E.},
  year = {1984},
  month = feb,
  volume = {27},
  pages = {97--111},
  issn = {0010-4620, 1460-2067},
  doi = {10.1093/comjnl/27.2.97},
  journal = {The Computer Journal},
  language = {en},
  number = {2}
}


@book{Murrell2006,
  title = {R Graphics},
  author = {Murrell, Paul},
  year = {2006},
  publisher = {{Chapman \& Hall/CRC}},
  address = {{Boca Raton, Fla.}},
  file = {/media/Daten/Chrissies Dateien/Literatur/Buecher/R Graphics.pdf},
  isbn = {978-1-58488-486-6},
  language = {en},
  note = {OCLC: 255097201},
  series = {Computer Science and Data Analysis Series}
}


@Book{Wickham2020,
  author     = {Wickham, Hadley},
  title      = {ggplot2: {{Elegant Graphics}} for {{Data Analysis}}},
  year       = {2020},
  edition    = {3rd, in progress},
  abstract   = {Master ggplot2 and the rich grammar that underlies it.},
  shorttitle = {ggplot2},
  url        = {https://ggplot2-book.org/},
}



@article{Wasserstein2019,
  title = {Moving to a {{World Beyond}} ``p {$<$} 0.05''},
  author = {Wasserstein, Ronald L. and Schirm, Allen L. and Lazar, Nicole A.},
  year = {2019},
  month = mar,
  volume = {73},
  pages = {1--19},
  publisher = {{Taylor \& Francis}},
  issn = {0003-1305},
  doi = {10.1080/00031305.2019.1583913},
  annotation = {\_eprint: https://doi.org/10.1080/00031305.2019.1583913},
  file = {/media/Daten/Chrissies Dateien/Literatur/Zotero/storage/D28BJDH4/Wasserstein et al. - 2019 - Moving to a World Beyond “p  0.05”.pdf},
  journal = {The American Statistician},
  number = {sup1}
}



@Article{Anderson2019,
  author     = {Anderson, Andrew A.},
  journal    = {The American Statistician},
  title      = {Assessing {{Statistical Results}}: {{Magnitude}}, {{Precision}}, and {{Model Uncertainty}}},
  year       = {2019},
  issn       = {0003-1305},
  month      = mar,
  number     = {sup1},
  pages      = {118--121},
  volume     = {73},
  doi        = {10.1080/00031305.2018.1537889},
  keywords   = {Inference, Robustness, Sampling error},
  publisher  = {{Taylor \& Francis}},
  shorttitle = {Assessing {{Statistical Results}}},
}



@book{Peng2019,
  title = {Report {{Writing}} for {{Data Science}} in {{R}}},
  author = {Peng, Roger D},
  year = {2019},
  file = {/media/Daten/Chrissies Dateien/Literatur/Buecher/Report Wiriting for Data Science in R.pdf},
  language = {en}
}




@Book{r4ds_old,
  author   = {Wickham, Hadley and Grolemund, Garrett},
  title    = {R for {{Data Science}}},
  year     = {2021},
  abstract = {This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you'll learn how to clean data and draw plots\textemdash and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You'll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You'll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.},
  url      = {https://r4ds.had.co.nz/},
}


@book{ModernDive,
  title = {{{ModernDive}}: {{Statistical Inference}} via {{Data Science}}},
  author = {Ismay, Chester and Kim, Albert Y.},
  year = {2021},
  abstract = {An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.},
  url = {https://moderndive.com/}
}



@article{Efron1979,
  title = {Bootstrap {{Methods}}: {{Another Look}} at the {{Jackknife}}},
  shorttitle = {Bootstrap {{Methods}}},
  author = {Efron, B.},
  year = {1979},
  month = jan,
  volume = {7},
  pages = {1--26},
  publisher = {{JSTOR}},
  issn = {0090-5364, 2168-8966},
  doi = {10.1214/aos/1176344552},
  journal = {The Annals of Statistics},
  number = {1}
}


@article{Hesterberg2015,
  title = {What {{Teachers Should Know About}} the {{Bootstrap}}: {{Resampling}} in the {{Undergraduate Statistics Curriculum}}},
  shorttitle = {What {{Teachers Should Know About}} the {{Bootstrap}}},
  author = {Hesterberg, Tim C.},
  year = {2015},
  month = oct,
  volume = {69},
  pages = {371--386},
  issn = {0003-1305, 1537-2731},
  doi = {10.1080/00031305.2015.1089789},
  file = {/media/Daten/Chrissies Dateien/Literatur/Statistics/Hesterberg2015.pdf},
  journal = {The American Statistician},
  language = {en},
  number = {4}
}


@article{Wasserstein2016,
  title = {The {{ASA Statement}} on P-{{Values}}: {{Context}}, {{Process}}, and {{Purpose}}},
  shorttitle = {The {{ASA Statement}} on P-{{Values}}},
  author = {Wasserstein, Ronald L. and Lazar, Nicole A.},
  year = {2016},
  month = apr,
  volume = {70},
  pages = {129--133},
  publisher = {{Taylor \& Francis}},
  issn = {0003-1305},
  doi = {10.1080/00031305.2016.1154108},
  annotation = {\_eprint: https://doi.org/10.1080/00031305.20