EUR 17,21
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In den WarenkorbHardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.54.
EUR 17,21
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In den WarenkorbHardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.54.
Verlag: Oxford University Press, Incorporated, 2002
ISBN 10: 0198524846 ISBN 13: 9780198524847
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
EUR 19,02
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In den WarenkorbZustand: Good. 2 Edition. Used book that is in clean, average condition without any missing pages.
Verlag: Oxford. Oxford Univ. Press. 2002., 2002
Anbieter: Antiquariat am Flughafen, Berlin, Deutschland
EUR 32,00
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In den WarenkorbHardcover. Zustand: sehr gut. Hardcover gr. 8°. xv, 379 pages. second edition. with fig. and tables within the chapters. little rubbed. good condition. Series Oxford Statistical Science", 25. in englischer Sprache (in english).
EUR 126,74
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In den WarenkorbZustand: New. In.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 109,99
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In den WarenkorbGebundene Ausgabe. Zustand: Neu. Neu Neuware, Importqualität, auf Lager, Sofortversand - The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.
EUR 136,76
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In den WarenkorbGebunden. Zustand: New. A reference text in the area of biostatistics (medical statistics). It discusses fully parametric models for discrete repeated measures data. It explores statistical models for time-dependent predictors where there may be feedback between the predictor and .