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In den WarenkorbPaperback. Zustand: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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In den WarenkorbHardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.55.
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In den WarenkorbHardcover. Octavo, xxv, 582 pages. In Very Good minus condition. Spine is yellow and brown with black print. Boards in glossy brown and yellow paper, white print. Remainder of torn away vendor label on rear panel. Illustrated: b&w and color graphs. Series ISSN: 0172-7397. NOTE: Shelved in Netdesk Column R. 1396340. FP New Rockville Stock.
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In den WarenkorbPaperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.3.
Verlag: Springer (edition 2nd ed. 2015), 2015
ISBN 10: 3319194240 ISBN 13: 9783319194240
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
EUR 48,37
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In den WarenkorbHardcover. Zustand: Very Good. 2nd ed. 2015. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 55,74
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In den WarenkorbZustand: New. In.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with 'too many variables to analyze and not enough observations,' and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve 'safe data mining'. There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield '.students typically know the technical details of regressin for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies.' Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks!) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.
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In den WarenkorbZustand: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 568 | Sprache: Englisch | Produktart: Bücher.
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In den WarenkorbZustand: New. In English.
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.