{"product_id":"a-primer-on-linear-models-9781420062014","title":"A Primer on Linear Models","description":"\u003cp\u003e • Author(s): John F. Monahan\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e A Primer on Linear Models\u003c\/b\u003e presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample theory supporting common statistical methods.\u003c\/p\u003e\u003cp\u003eWith coverage steadily progressing in complexity, the text first provides examples of the general linear model, including multiple regression models, one-way ANOVA, mixed-effects models, and time series models. It then introduces the basic algebra and geometry of the linear least squares problem, before delving into estimability and the Gauss-Markov model. After presenting the statistical tools of hypothesis tests and confidence intervals, the author analyzes mixed models, such as two-way mixed ANOVA, and the multivariate linear model. The appendices review linear algebra fundamentals and results as well as Lagrange multipliers. \u003c\/p\u003e\u003cp\u003eThis book enables complete comprehension of the material by taking a general, unifying approach to the theory, fundamentals, and exact results of linear models.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Paperback","offer_id":46931686883479,"sku":"9781420062014","price":4962.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781420062014.webp?v=1771615410","url":"https:\/\/atlanticbooks.com\/products\/a-primer-on-linear-models-9781420062014","provider":"Atlantic Books","version":"1.0","type":"link"}