1. Naked Statistics: Stripping the Dread from the Data Book by Charles Wheelan 2. An Introduction to Statistical Learning: With Applications in R Originally published: 24 June 2013 Authors: Gareth M. James, Daniela Witten, Trevor Hastie, Robert Tibshirani Editor: Gareth M. James Original language: English Genre: Textbook 3. The Elements of Statistical Learning Book by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie 4. Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python Book by Andrew Bruce, Peter C. Bruce, and Peter Gedeck 5. All of Statistics: A Concise Course in Statistical Inference Book by Larry A. Wasserman 6. The Art of Statistics: How to Learn from Data Book by David Spiegelhalter 7. The Signal and the Noise: Why So Many Predictions Fail-but Some Don't Book by Nate Silver 8. Head First Statistics Book by Dawn Griffiths 9. Think Stats Book by Allen B. Downey 10. How to Lie with Statistics Book by Darrell Huff 11. Statistics in plain English Book by Timothy C. Urdan 12. OpenIntro Statistics Textbook by Christopher Barr, David Diez, and Mine Çetinkaya-Rundel 13. The cartoon guide to statistics Book by Larry Gonick 14. The Book of Why Book by Dana Mackenzie and Judea Pearl 15. Pattern Recognition and Machine Learning Book by Christopher Bishop 16. Discovering Statistics Using R Book by Andy Field and Jeremy Miles 17. Statistics for Dummies Book by Deborah Rumsey 18. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition Originally published: 2009 19. The Visual Display of Quantitative Information Book by Edward Tufte 20. Statistics Done Wrong: The Woefully Complete Guide Book by Alex Reinhart 21. Applied Predictive Modeling Book by Kjell Johnson and Max Kuhn 22. Workbook to accompany Statistics for Business and Economics Originally published: 1984 Authors: David R. Anderson, Thomas A. Williams, Dennis J. Sweeney, Thomas Arthur Williams 23. Probability and statistics Book by Morris H. DeGroot 24. First Course in Probability, A Book by Sheldon M. Ross 25. Mathematical statistics with applications Textbook by Dennis D. Wackerly 26. Principles of statistics Book by M. G. Bulmer 27. Statistics for People Who Book by Neil J. Salkind 28. Discovering Statistics Using IBM SPSS Statistics Book by Andy Field 29. Statistics II for Dummies Book by Deborah Rumsey 30. R for Data Science Book by Garrett Grolemund and Hadley Wickham 31. Weapons of Math Destruction Book by Cathy O'Neil 32. Statistics for experimenters Book by George E. P. Box 33. Bayesian Data Analysis Originally published: 1995 Authors: Andrew Gelman, Aki Vehtari, John Carlin, Hal S. Stern, David Dunson, Donald Rubin Editor: Andrew Gelman 34. Data Analysis Using Regression and Multilevel/Hierarchical Models Book by Andrew Gelman and Jennifer Hill 35. Thinking Statistically Book by Uri Bram 36. How Not to Be Wrong Book by Jordan Ellenberg 37. Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks Book by Will Kurt 38. Statistics (Fourth Edition) Textbook by David A. Freedman, Robert Pisani, and Roger Purves 39. Introduction to Mathematical Statistics Edition Textbook by Robert V. Hogg 40. The Lady Tasting Tea Book by David Salsburg 41. The Drunkard's Walk: How Randomness Rules Our Lives Book by Leonard Mlodinow 42. The Art of R Programming: A Tour of Statistical Software Design Book by Norman Matloff 43. Freakonomics Book by Stephen J. Dubner and Steven Levitt 44. Statistical Rethinking: A Bayesian Course with Examples in R and Stan Book by Richard McElreath 45. Statistics Book by David A. Freedman 46. Student Study Guide to Accompany Statistics Alive! Book by Matthew Price, Wendy J. Steinberg, and Zoe Brier 47. A first course in linear model theory Book by Nalini Ravishanker 48. Statistics Essentials for Dummies Book by Deborah Rumsey 49. Probability and statistics Book by Frederick Mosteller 50. Statistics Book by Robert S. Witte 51. Introduction to Linear Algebra, 3rd Edition Textbook by Gilbert Strang 52. Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving Book by Sanjoy Mahajan An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation.In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Originally published: 2010
Friday, June 10, 2022
Statistics Books (2022-June)
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