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Record Nr. |
UNINA9910484467103321 |
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Autore |
Brinda W. D. |
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Titolo |
Visualizing Linear Models / / by W. D. Brinda |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (175 pages) : illustrations |
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Disciplina |
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Soggetti |
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Regression analysis |
Algebras, Linear |
Statistics |
Linear Models and Regression |
Linear Algebra |
Statistical Theory and Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors. |
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Sommario/riassunto |
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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. |
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