Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 14,00
Quantità: 4 disponibili
Aggiungi al carrelloXXIII, 463 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. Sprache: Englisch.
Lingua: Inglese
Editore: Singapore, Springer Singapore., 2018
ISBN 10: 9811086265 ISBN 13: 9789811086267
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
Prima edizione
EUR 22,00
Quantità: 6 disponibili
Aggiungi al carrello1st ed. 2018. 16 x 24 cm. XXIII, 463 S. XXIII, 463 p. 122 illus., 109 illus. in color. 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. Sprache: Englisch.
EUR 77,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 72,85
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Aggiungi al carrelloCondizione: New. In.
EUR 69,50
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
EUR 86,92
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Aggiungi al carrelloCondizione: New.
EUR 72,46
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 250.
EUR 80,03
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2009
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: Prominent Books, Hereford, ABBEY, Regno Unito
EUR 82,70
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. Next day dispatch (mon-fri). Please note orders sent to Netherlands or Sweden take slightly longer than the Amazon estimated delivery date. Same day/next day dispatch (mon-fri) all items checked before dispatch, Handled and sent out with care.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2009
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 95,63
Quantità: 1 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2009
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 95,62
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2012
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 103,63
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Num Pages: 228 pages, tables. BIC Classification: PB. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 266 x 185 x 21. Weight in Grams: 672. . 2012. First Edition. Hardcover. . . . .
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2012
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 106,04
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 100,23
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 250 pages. 9.25x6.10x0.62 inches. In Stock.
EUR 62,35
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Generalized Linear Models and Extensions | M. Ataharul Islam (u. a.) | Taschenbuch | Englisch | 2026 | Springer | EAN 9789819648504 | Verantwortliche Person für die EU: Springer-Verlag KG, Sachsenplatz 4-6, 1201 WIEN, ÖSTERREICH, productsafety[at]springernature[dot]com | Anbieter: preigu.
EUR 140,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2012
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. Num Pages: 228 pages, tables. BIC Classification: PB. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 266 x 185 x 21. Weight in Grams: 672. . 2012. First Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 127,84
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. pp. 463.
EUR 77,52
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes.The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates.In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data.
EUR 77,25
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Analysis of Repeated Measures Data | M. Ataharul Islam (u. a.) | Taschenbuch | xix | Englisch | 2018 | Springer | EAN 9789811099670 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 143,28
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 250 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2009
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: moluna, Greven, Germania
EUR 104,52
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Offers a comprehensive discussion and theoretical details of the Markov model applications. This book describes the application of the techniques to real life problems, and the computer programs for using the techniques.KlappentextrnrnDuring.
EUR 148,20
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 488 pages. 9.25x6.10x1.10 inches. In Stock.
Lingua: Inglese
Editore: Nova Science Publishers, Inc (US), 2009
ISBN 10: 1604569778 ISBN 13: 9781604569773
Da: Gazelle Books, Lancaster, LANCA, Regno Unito
EUR 103,82
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New Book, Direct from Publisher.
EUR 100,94
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models. Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the modelling of statistical data have experienced a major transformation from linear models based on normality assumption to a more flexible unified approach of generalized linear models.The number of readers and users of generalized linear models have increased manifold. In addition, the use of generalized linear models has expanded in many new fields of applications where statistical models are being employed at an increasing rate. It is important to note here that the learners and users of GLM have a widely varied background in different disciplines. Considering these pressing needs, this book focuses on: (i) upper undergraduate and graduate level students in need of a thorough understanding about the basic concepts of generalized linear models along with appropriate applications; (ii) researchers and users in need of advanced generalized linear models for analysing bivariate or multivariate data stemming from longitudinal or repeated measures data; and (iii) new challenges to analyse big data where the traditional techniques fail to provide any reasonable modelling strategy. In other words, this book starts with a thorough background of the generalized linear models for the new learners, then provides multivariate extensions to advanced level techniques for researchers and users in various disciplines, and finally some innovative modelling strategies are introduced using generalized linear models in the emerging field of big data analytics. It provides materials for new learners, for users/researchers who are in need of more advanced techniques and also strategies for employing linear models in big data analytics. Hence, techniques of generalized linear models will be presented in the proposed book covering the needs of new learners, users of advanced techniques, researchers in need of statistical modelling of any data type and users of big data analytics wanting to increase predictive accuracy of classification and regression tree techniques.