Books like Statistical methods and scientific inference by Ronald Aylmer Fisher

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

A practical guide to Bayesian statistical analysis that prioritizes computation, model checking, and data‑collection design, with examples spanning regression, hierarchical, robust, generalized linear, and mixture models.

An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.

The Practice of Statistics is a high‑school textbook aligned with the College Board AP Statistics curriculum, blending data analysis, technology, and modern pedagogy to help students learn statistics and prepare for the AP exam.

xv, 734 pages : 26 cm

"Once Upon a Number shows that stories and numbers aren't as different as you might imagine, and in fact they have surprising and fascinating connections. The concepts of logic and probability both grew out of intuitive ideas about how certain stories would play out. Now, logicians are inventing ways to deal with real world situations by mathematical means - by acknowledging, for instance, that items that are mathematically interchangeable may not be interchangeable in a story. And complexity theory looks at both number strings and narrative strings in remarkably similar terms."--BOOK JACKET. "Beside lucid accounts of cutting-edge information theory we get hilarious anecdotes and jokes; instructions for running a truly impressive pyramid scam as well as a new religious hoax; a freewheeling conversation between Groucho Marx and Bertrand Russell; explanations of why the mundane facts of the O. J. Simpson case are overwhelmingly incriminating; how the Unabomber's thinking shows signs of mathematical training; why we're much more likely to feel aggrieved than aggrieving; and dozens of other treats."--BOOK JACKET.

Revised edition of DeGroot’s classic, blending classical and Bayesian statistics with new chapters on simulation—MCMC and Bootstrap—and enhanced residual analysis for linear models, all illustrated with real‑world data.