Da: BooksRun, Philadelphia, PA, U.S.A.
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Aggiungi al carrelloPaperback. Condizione: Good. 2010. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 32,29
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Aggiungi al carrellopaperback. Condizione: 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!
Da: Once Upon A Time Books, Siloam Springs, AR, U.S.A.
EUR 32,27
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Aggiungi al carrellopaperback. Condizione: Acceptable. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 53,13
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,95
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Da: Hanselled Books, Burntisland, FIFE, Regno Unito
Membro dell'associazione: IOBA
EUR 53,08
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Aggiungi al carrelloSoft cover. Condizione: Very Good. No Jacket. P/B 494 pages condition is very good.
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Aggiungi al carrelloPF. Condizione: New.
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Aggiungi al carrelloCondizione: New. pp. 508.
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Editore: Springer-Verlag New York Inc., 2012
ISBN 10: 1461426278 ISBN 13: 9781461426271
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 81,74
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Aggiungi al carrelloPaperback. Condizione: Brand New. 503 pages. 9.20x6.10x1.10 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Regression with Linear Predictors | Per Kragh Andersen (u. a.) | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9781461426271 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 59,27
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a book about regression analysis, that is, the situation in statistics where the distribution of a response (or outcome) variable is related to - planatory variables (or covariates). This is an extremely common situation in the application of statistical methods in many elds, andlinear regression,- gistic regression, and Cox proportional hazards regression are frequently used for quantitative, binary, and survival time outcome variables, respectively. Several books on these topics have appeared and for that reason one may well ask why we embark on writing still another book on regression. We have two main reasons for doing this: 1. First, we want to highlightsimilaritiesamonglinear,logistic,proportional hazards,andotherregressionmodelsthatincludealinearpredictor. These modelsareoftentreatedentirelyseparatelyintextsinspiteofthefactthat alloperationsonthemodelsdealingwiththelinearpredictorareprecisely the same, including handling of categorical and quantitative covariates, testing for linearity and studying interactions. 2. Second, we want to emphasize that, for any type of outcome variable, multiple regression models are composed of simple building blocks that areaddedtogetherinthelinearpredictor:thatis,t-tests,one-wayanalyses of variance and simple linear regressions for quantitative outcomes, 2×2, 2×(k+1) tables and simple logistic regressions for binary outcomes, and 2-and (k+1)-sample logrank testsand simple Cox regressionsfor survival data. Thishastwoconsequences. Allthesesimpleandwellknownmethods can be considered as special cases of the regression models. On the other hand, the e ect of a single explanatory variable in a multiple regression model can be interpreted in a way similar to that obtained in the simple analysis, however, now valid only forthe other explanatory variables in the model 'held xed'.
Editore: Springer. 2010., 2010
Da: Antiquariat am Flughafen, Berlin, Germania
EUR 45,00
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Aggiungi al carrelloHardcover. Hardcover. gr. 8°. XI, 494 pages. with 171 figures. good condition in englischer Sprache (in english).
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is a book about regression analysis, that is, the situation in statistics where the distribution of a response (or outcome) variable is related to - planatory variables (or covariates). This is an extremely common situation in the application of statistical methods in many elds, andlinear regression,- gistic regression, and Cox proportional hazards regression are frequently used for quantitative, binary, and survival time outcome variables, respectively. Several books on these topics have appeared and for that reason one may well ask why we embark on writing still another book on regression. We have two main reasons for doing this: 1. First, we want to highlightsimilaritiesamonglinear,logistic,proportional hazards,andotherregressionmodelsthatincludealinearpredictor. These modelsareoftentreatedentirelyseparatelyintextsinspiteofthefactthat alloperationsonthemodelsdealingwiththelinearpredictorareprecisely the same, including handling of categorical and quantitative covariates, testing for linearity and studying interactions. 2. Second, we want to emphasize that, for any type of outcome variable, multiple regression models are composed of simple building blocks that areaddedtogetherinthelinearpredictor:thatis,t-tests,one-wayanalys es of variance and simple linear regressions for quantitative outcomes, 2×2, 2×(k+1) tables and simple logistic regressions for binary outcomes, and 2-and (k+1)-sample logrank testsand simple Cox regressionsfor survival data. Thishastwoconsequences. Allthesesimpleandwellknownmethods can be considered as special cases of the regression models. On the other hand, the e ect of a single explanatory variable in a multiple regression model can be interpreted in a way similar to that obtained in the simple analysis, however, now valid only for the other explanatory variables in the model 'held xed'. 494 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 77,12
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 508 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Editore: Springer-Verlag New York Inc., 2012
ISBN 10: 1461426278 ISBN 13: 9781461426271
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 68,40
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 790.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,29
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 508.
Da: moluna, Greven, Germania
EUR 47,23
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights similarities between regression models for quantitative, binary and survival time outcomes through construction of a linear predictor and emphasizes interpretation of effects and reparametrizationsIncludes worked examples from authors .
Da: moluna, Greven, Germania
EUR 48,74
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights similarities between regression models for quantitative, binary and survival time outcomes through construction of a linear predictor and emphasizes interpretation of effects and reparametrizationsIncludes worked examples from authors .