Books like Linear models by S. R. Searle

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.

Applied Linear Statistical Models – a comprehensive textbook by John Neter that covers linear models, regression analysis, analysis of variance, and experimental design for statisticians and researchers.

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.

"An Introduction to Generalized Linear Models, Second Edition initiates intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including those in survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy.". "The text assumes a working knowledge of basic statistical concepts and methods and an acquaintance with calculus and matrix algebra. It emphasizes graphical methods for exploratory data analysis, visualizing numerical optimization, and plotting residuals, and now includes examples from a wider range of application areas, including business, medicine, agriculture, biology, engineering, and the social sciences. Data sets and outline solutions to exercises are available on the internet."--BOOK JACKET.

A concise guide for advanced undergraduate and beginning graduate students, introducing the theory of linear statistical models.

A revision of this classic statistics text for first-year graduate students in psychology, education and related social sciences. The two new authors are former students of Winer's. They have updated, rewritten and reorganized the text to fit the course as it is now taught.

A popular statistical text, now updated and better than ever!