02668nam 22005895 450 991048446710332120250610110428.09783030641672303064167810.1007/978-3-030-64167-2(CKB)4100000011778538(MiAaPQ)EBC6498193(PPN)253861810(DE-He213)978-3-030-64167-2(MiAaPQ)EBC29156138(EXLCZ)99410000001177853820210224d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierVisualizing Linear Models /by W. D. Brinda1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (175 pages) illustrations9783030641665 303064166X Includes bibliographical references and index.Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep understanding of the principles, it's an excellent basis for a one-semester course on statistical theory and linear modeling for intermediate undergraduates or graduate students. Three chapters gradually develop the essentials of linear model theory. They are each preceded by a review chapter that covers a foundational prerequisite topic. This classroom-tested work explores two distinct and complementary types of visualization: the “observations picture” and the “variables picture.” To improve retention of material, this book is supplemented by a bank of ready-made practice exercises for students. These are available for digital or print use.Regression analysisAlgebras, LinearStatisticsLinear Models and RegressionLinear AlgebraStatistical Theory and MethodsRegression analysis.Algebras, Linear.Statistics.Linear Models and Regression.Linear Algebra.Statistical Theory and Methods.519.5Brinda W. D.1221264MiAaPQMiAaPQMiAaPQBOOK9910484467103321Visualizing linear models2831962UNINA