BOOKS STATISTICS

 

Barron's Educational Series, Patrick Honner, Painless Statistics (Barron's Painless), Barrons Educational Services, 2022

 

Behara, Ravi, Probability Quick Study Reference Outline (Pamphlet), BarCharts, 2010

 

Best, Joel, Stat-Spotting: A Field Guide to Identifying Dubious Data, University of California Press, 2013

 

Boslaugh, Sarah, Statistics in a Nutshell: A Desktop Quick ReferenceO'Reilly Media; 2nd edition, 2012

 

Cairo, Alberto, How Charts Lie: Getting Smarter about Visual Information, W. W. Norton & Company, 2020

 

Cairo, Alberto, Truthful Art, The: Data, Charts, and Maps for Communication (Voices That Matter), New Riders, 2016

 

Chivers, Tom, David Chivers, How to Read Numbers: A Guide to Statistics in the News (and Knowing When to Trust Them), W&N, 2022

 

Chivers, Tom, Everything Is Predictable: How Bayesian Statistics Explain Our World, Atria/One Signal Publishers, 2024

 

Daston, Lorraine, Classical Probability in the Enlightenment, New Edition, Princeton University Press; New edition, 2023

 

de Mesquita, Ethan Bueno, Anthony Fowler, Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis, Princeton University Press, 2021

 

Dykes, Brent, Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals, Wiley, 2019

 

Edmans, Alex, May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases―And What We Can Do about It, University of California Press, 2024

 

Everitt, B. S., The Cambridge Dictionary of Statistics, Cambridge University Press; 3rd edition, 2006

 

Few, Stephen, Now You See It: Simple Visualization Techniques for Quantitative Analysis, Analytics Press; Second edition, 2021

 

Few, Stephen, The Data Loom: Weaving Understanding by Thinking Critically and Scientifically with Data, Analytics Press; None edition, 2019

 

Foreman, John W., Data Smart: Using Data Science to Transform Information into Insight, Wiley, 2013

 

Frost, Jim, Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions, Statistics by Jim Publishing, 2020

 

Gutman, Alex J., Jordan Goldmeier, Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, Wiley, 2021

 

Hossain, Munier, Making Sense of Medical Statistics, Cambridge University Press; New edition, 2021

 

James, Gareth, Daniela Witten, An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics), Springer; 2nd ed. 2021 edition, 2022

 

Jaynes, E. T., G. Larry Bretthorst (Editor), Probability Theory: The Logic of Science, Cambridge University Press; Annotated edition, 2003

 

Knaflic, Cole Nussbaumer, Storytelling with Data: A Data Visualization Guide for Business Professionals, Wiley, 2015

 

Kneusel, Ronald T., Math for Deep Learning: What You Need to Know to Understand Neural Networks, No Starch Press; Illustrated edition, 2019

 

Kohavi, Ron, Trustworthy Online Controlled Experiments, Cambridge University Press, 2020

 

Kurt, Will, Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks, No Starch Press; Illustrated edition, 2019

 

Mijares, John Ph.D., Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ) (Pamphlet), Barcharts, 2005


Page, Scott E., The Model Thinker: What You Need to Know to Make Data Work for You, Basic Books; Reprint edition, 2021

 

Porter, Theodore M., Trust in Numbers: The Pursuit of Objectivity in Science and Public Life, Princeton University Press; New edition, 2020

 

Reinhart, Alex, Statistics Done Wrong: The Woefully Complete Guide, No Starch Press, 2015

 

Rendgen, Sandra, The Minard System: The Complete Statistical Graphics of Charles-Joseph Minard, Princeton Architectural Press, 2018

 

Rosenbaum, Paul R., Causal Inference (The MIT Press Essential Knowledge series), The MIT Press, 2023

 

Schwabish, Jonathan, Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks, Columbia University Press, 2021

 

Spector, Alfred Z., Peter Norvig, Data Science in Context: Foundations, Challenges, Opportunities, Cambridge University Press; New edition, 2022

 

Spiegelhalter, David, The Art of Statistics: How to Learn from Data, Basic Books; Illustrated edition, 2021

 

Stigler, Stephen M., Statistics on the Table: The History of Statistical Concepts and Methods, Harvard University Press, 2002

 

Tufte, Edward R., Envisioning Information, Graphics Press, 1990

 

Tufte, Edward R., The Visual Display of Quantitative Information, 2nd Ed., Graphics Press; 2nd edition, 2001

 

Weber, Jeremy G., Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong), University of Chicago Press, 2024

 

Wheelan, Charles, Naked Statistics: Stripping the Dread from the Data, W. W. Norton & Company, 2014



No comments:

Post a Comment