A Hands-On Way to Learning Data Analysis
Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the first edition.
New to the Second Edition
Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Julian J. Faraway
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_474273073
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Vendeur : BookHolders, Towson, MD, Etats-Unis
Etat : Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: SOME ] [ Edition: Second ] Publisher: Routledge Pub Date: 7/1/2014 Binding: Hardcover Pages: 286 Second edition. N° de réf. du vendeur 6884276
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Vendeur : Outer Print, Richmond, VA, Etats-Unis
Hardcover. Etat : Near Fine. 2nd Edition. Near Fine hardcover in illustrated boards. Clean and bright with no signs of wear or aging. 274 pp. N° de réf. du vendeur 005796
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Vendeur : Better World Books Ltd, Dunfermline, Royaume-Uni
Etat : Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 68149465-20
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Vendeur : Tin Can Mailman, Arcata, Arcata, CA, Etats-Unis
hardcover. Etat : Very Good. Very minor shelf and perusal wear. Pages are well bound. Text appears clean and unmarked. N° de réf. du vendeur SKU1016804
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Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Gebunden. Etat : Sehr gut. Gebraucht - Sehr gut Leichte Lagerspuren -Like its widely praised, best-selling predecessor, this second edition explains how to use linear models in physical science, engineering, social science, and business applications. The material on interpreting linear models now distinguishes the main applications of prediction and explanation and introduces elementary notions of causality. This edition also covers QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates. It extensively uses R's ggplot2 graphics package in addition to base graphics. 286 pp. Englisch. N° de réf. du vendeur INF1001460924
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Vendeur : Greener Books, London, Royaume-Uni
Hardcover. Etat : Used; Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books. N° de réf. du vendeur 5032388
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Vendeur : GoldBooks, Denver, CO, Etats-Unis
Hardcover. Etat : new. New Copy. Customer Service Guaranteed. N° de réf. du vendeur 50X75_21_1439887330
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Vendeur : Harmonium Books, Philadelphia, PA, Etats-Unis
Hardcover. Etat : New. 2nd Edition. Brand new, never opened hardback. N° de réf. du vendeur ABE-1775749887688
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