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In den WarenkorbXIV, 392 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Gestempelt "Mängelexemplar"/ stamped "imperfect copy". Bestoßen. Springer Texts in Statistics. Sprache: Englisch.
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In den WarenkorbHardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Verlag: Springer, 2009
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In den WarenkorbZustand: New. pp. 408.
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In den WarenkorbZustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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In den WarenkorbZustand: New. pp. 408.
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In den Warenkorbpaperback. Zustand: Very Good. Cover and edges may have some wear.
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In den WarenkorbZustand: New. pp. 408 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Verlag: Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441918728 ISBN 13: 9781441918727
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch.
Verlag: Springer New York, Springer US, 2010
ISBN 10: 1441918728 ISBN 13: 9781441918727
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.
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In den WarenkorbZustand: Acceptable. LIGHTNING FAST SHIPPING! A heavily used, but still working copy. Coffee stain and wrinkling to the edge of the pages when a tired undergrad fell asleep and knocked their cup over on their books. The binding and pages of the book have been reinforced with tape, has tape and stickers on the cover, as well as lots of notes (some of the answers in the learning activities may be filled in) on the pages. Definitely not pretty, but it's a working copy at a great price that ships fast. ~ Book does NOT contain an access code or CD/DVD.
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In den WarenkorbZustand: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Springer Pub Date: 3/11/2009 Binding: Hardcover Pages: 393 first edition.
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In den WarenkorbHard cover. Zustand: Fine. No dust jacket. Text in English. Sewn binding. Cloth over boards. 392 p. Contains: Illustrations, black & white, Tables, black & white, Figures, Charts. Springer Texts in Statistics. Audience: General/trade. No previous owner's name. Clean, tight pages. No bent corners. EB 51.
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.
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In den WarenkorbPaperback. Zustand: Brand New. 407 pages. 9.00x6.00x0.92 inches. In Stock.
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In den WarenkorbGebunden. Zustand: New. Compares a number of new real data sets that enable students to learn how regression can be used in real lifeProvides R code used in each example in the text along with the SAS-code and STATA-code to produce the equivalent outputComplete de.
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In den WarenkorbZustand: As New. Unread book in perfect condition.