| Call number | Item |
| Q | Science (Go to start of category) |
| QA | Mathematics and Computer Science (Go to start of category) |
| QA276 .A1 A487 | ![[Info]](https://onlinebooks.library.upenn.edu/info.gif) Annual Review of Statistics and its Application (partial serial archives) |
| QA276 .A1 M26 1996 | Massive Data Sets: Proceedings of a Workshop (1997), by National Research Council Committee on Applied and Theoretical Statistics (page images and partial HTML/audio at NAP) |
| QA276 .A12 R6325 1985 | Selected Papers (c1985), by Herbert Robbins, ed. by T. L. Lai and David Siegmund (PDF with commentary at springer.com) |
| QA276 .C437 1999 | The Unknowable, by Gregory J. Chaitin (illustrated HTML at Maine) |
| QA276 .D35 | The Analysis of Economic Time Series (Cowles Foundation monograph #6; Bloomington, IN: Principia Press, 1941; with added supplement from 1987), by Harold T. Davis, contrib. by R. W. Farebrother |
| QA276 .F66 | Nonparametric Methods in Statistics (New York: J. Wiley and Sons; London: Chapman and Hall, c1957), by D. A. S. Fraser (page images at HathiTrust) |
| QA276 .I585 2014 | An Introduction to Statistical Learning, With Applications in R (corrected first edition and second edition; 2017 and 2021), by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (PDF with commentary at statlearning.com) |
| QA276 .K452 1947 | Mathematics of Statistics (2 volumes (first volume is second edition); New York: D. Van Nostrand, 1947), by John F. Kenney (page images at HathiTrust) |
| QA276 .K546 2009 | Modeling with Data (Princeton : Princeton University Press, c2009), by Ben Klemens (PDF with commentary at modelingwithdata.org) |
| QA276 .T6 | Annals of the Institute of Statistical Mathematics (partial serial archives) |
| QA276 .W482 1950 | Extrapolation, Interpolation, and Smoothing of Stationary Time Series, With Engineering Applications (second printing; Cambridge, MA: Technology Press of the Massachusetts Institute of Technology; London: J. Wiley and Sons, 1950), by Norbert Wiener (page images at HathiTrust) |
| QA276.12 .D539 2015 | OpenIntro Statistics (third edition, with additional material; c2015), by David M. Diez, Christopher D. Barr, and Mine Çetinkaya-Rundel (PDF with commentary at openintro.org) |
| QA276.12 .D539 2018 | Advanced High School Statistics (2018), by David M. Diez, Christopher D. Barr, Mine Çetinkaya-Rundel, and Leah Dorazio (PDF with commentary at openintro.org) |
| QA276.12 .S755 1998 | Introductory Statistics: Concepts, Models, and Applications (free online edition, revised 1998), by David Stockburger (frame-dependent illustrated HTML with commentary at Missouri State) |
| QA276.18 .G45 2024 | Active Statistics (c2024), by Andrew Gelman and Aki Vehtari (PDF with commentary at github.io) |
| QA276.18 .N37 | Modern Interdisciplinary University Statistics Education: Proceedings of a Symposium (1994), by National Research Council Commission on Engineering and Technical Systems (page images with commentary at NAP) |
| QA276.25 .N38 1963 | Experimental Statistics (National Bureau of Standard handbook #91; Washington: GPO, 1963), by Mary Gibbons Natrella (page images at HathiTrust) |
| QA276.4 .D69 2011 | Think Stats: Probability and Statistics for Programmers (Needham, MA: Green Tea Press, c2011), by Allen Downey (PDF and HTML with commentary at Green Tea Press) |
| QA276.4 .E376 2016 | Computer Age Statistical Inference: Algorithms, Evidence and Data Science (c2016), by Bradley Efron and Trevor Hastie (PDF with commentary at Stanford) |
| QA276.4 .F88 1991 | The Future of Statistical Software: Proceedings of a Forum (1991), by National Research Council Committee on Applied and Theoretical Statistics (page images with commentary at NAP) |
| QA276.4 .S7 | Journal of Statistical Software (1997-) (full serial archives) |
| QA276.4 .V45 2001 | An Introduction to R: Notes on R, A Programming Environment for Data Analysis and Graphics (electronic edition, 2008), by W. N. Venables, D. M. Smith, and R Development Core Team |
| QA276.45 .R3 | Data Science: A First Introduction (Boca Raton: CRC Press, 2022), by Tiffany-Anne Timbers, Trevor Campbell, and Melissa Lee (illustrated HTML with commentary at datasciencebook.ca) |
| QA276.45 .R3 | Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio) |
| QA276.45 .R3 | Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Creative Commons online edition, 2021), by Chester Ismay and Albert Young-Sun Kim (illustrated HTML with commentary at moderndive.com) |