Brian d marx (13 Ergebnisse)

- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 75,86
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Zustand: New. In.

- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 86,24
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Hardcover. Zustand: Brand New. 199 pages. 9.00x6.00x0.50 inches. In Stock.

Regression, Models, Methods and Applications
Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan; Marx, Brian D.
- Softcover
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
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EUR 102,92
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 99,86
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Hardcover. Zustand: Brand New. 199 pages. 9.00x6.00x0.50 inches. In Stock.

- Hardcover
Anbieter: Books From California, Simi Valley, CA, USABooks From California
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EUR 111,43
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hardcover. Zustand: Very Good. Cover and edges may have some wear.

- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 78,72
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Zustand: New. P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers.

Regression: Models, Methods and Applications
Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan; Marx, Brian D.
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 128,79
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Zustand: New. In.

Regression: Models, Methods and Applications
Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan; Marx, Brian D.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 165,74
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Zustand: New. In.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 128,39
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression a…re presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book's dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented.The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference.In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured additive regression models have been added and a completely reworked chapter augments the presentation of quantile regression with a comprehensive introduction to distributional regression models. Regularization approaches are now more extensively discussed in most chapters of the book.The book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written at an intermediate mathematical level and assumes only knowledge of basic probability, calculus, matrix algebra and statistics.

Regression: Models, Methods and Applications
Fahrmeir, Ludwig/ Kneib, Thomas/ Lang, Stefan/ Marx, Brian D.
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 185,85
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Paperback. Zustand: Brand New. 2nd edition. 766 pages. 9.25x6.10x1.53 inches. In Stock.

- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 177,00
EUR 66,52 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are pres…ented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book's dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented.The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference.In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured additive regression models have been added and a completely reworked chapter augments the presentation of quantile regression with a comprehensive introduction to distributional regression models. Regularization approaches are now more extensively discussed in most chapters of the book.The book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written at an intermediate mathematical level and assumes only knowledge of basic probability, calculus, matrix algebra and statistics.

Regression: Models, Methods and Applications
Fahrmeir, Ludwig (Author)/ Kneib, Thomas (Author)/ Lang, Stefan (Author)/ Marx, Brian D. (Author)
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 254,80
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Hardcover. Zustand: Brand New. 2nd edition. 764 pages. 9.25x6.10x1.89 inches. In Stock.

The Sage Handbook of Multilevel Modeling
Scott, Marc A. (Editor)/ Simonoff, Jeffrey S. (Editor)/ Marx, Brian D. (Editor)
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 342,50
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Hardcover. Zustand: Brand New. 1st edition. 696 pages. 9.75x7.00x1.75 inches. In Stock.