Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
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ISBN 10: 0521734495 ISBN 13: 9780521734493
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Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
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ISBN 10: 0521773393 ISBN 13: 9780521773393
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Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
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Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
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Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
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ISBN 10: 0521734495 ISBN 13: 9780521734493
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Verlag: Cambridge University Press, Cambridge, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
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Paperback. Zustand: new. Paperback. Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web. An integrated development of models and likelihood that blends theory and practice, suitable for advanced undergraduate and graduate students, researchers and practitioners. Each chapter of this 2003 book contains a wide range of problems and exercises. A library of data sets accompanying the book is available over the web. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Cambridge University Press CUP, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
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Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
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ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
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ISBN 10: 0521734495 ISBN 13: 9780521734493
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ISBN 10: 0521734495 ISBN 13: 9780521734493
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Verlag: Cambridge University Press Verlag;, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Sprache: Englisch
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Hardcover-Großformat. Zustand: Gut. 738 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1400.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
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ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
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Verlag: University Press, 2009
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8°, Broschur 726 Seiten kaum Gebrauchsspuren am Einband und Block, Block sauber und fest ISBN 978-0521734493 Name im Vorsatz Stichworte: Bibo Wagenbreth Deutsch 300g.
Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Sprache: Englisch
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Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
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ISBN 10: 0521773393 ISBN 13: 9780521773393
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ISBN 10: 0521734495 ISBN 13: 9780521734493
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Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Sprache: Englisch
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Verlag: Cambridge University Press, Cambridge, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Sprache: Englisch
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Hardcover. Zustand: new. Hardcover. Models and likelihood are the backbone of modern statistics and data analysis. Anthony Davison here blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practitioners. The coverage is unrivalled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as chapters on more standard topics such as the linear model and Bayesian statistics. Each chapter contains a wide range of exercises. Worked examples, aimed at helping users make the transition from theory to practice, abound. Practicals in the R language for developing computing and data analysis skills are also available, together with a library of data sets. These features will ensure that this becomes the standard text and reference in the subject, for both users of statistics and students. A survey of the methods in modern statistics and data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521734495 ISBN 13: 9780521734493
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.