Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Burleigh Dodds Science Publishing, 2022
ISBN 10: 1801464189 ISBN 13: 9781801464185
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 55,61
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Burleigh Dodds Science Pub, 2022
ISBN 10: 1801464189 ISBN 13: 9781801464185
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 64,62
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In den WarenkorbPaperback. Zustand: Brand New. 140 pages. 9.00x6.00x0.30 inches. In Stock.
Anbieter: Mooney's bookstore, Den Helder, Niederlande
Zustand: Very good.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 97,88
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In den WarenkorbZustand: New. pp. 480.
Anbieter: Mooney's bookstore, Den Helder, Niederlande
Zustand: Very good.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 123,15
Anzahl: 2 verfügbar
In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 126,62
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 126,62
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In den WarenkorbZustand: New. In.
Anbieter: moluna, Greven, Deutschland
EUR 94,87
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In den WarenkorbBuch. Zustand: New. Peter Buehlmann is a professor of statistics at ETH Zuerich, Switzerland, fellow of the Institute of Mathematical Statistics, elected member of the International Statistical Institute, and co-author of the book titled Statistics for Hig.
hardcover. Zustand: Sehr gut. 411 Seiten; 9780387955568.2 Gewicht in Gramm: 1.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Targeted Learning in Data Science | Causal Inference for Complex Longitudinal Studies | Mark J. Van Der Laan (u. a.) | Taschenbuch | xlii | Englisch | 2018 | Springer | EAN 9783030097363 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
gebundene Ausgabe. Zustand: Gut. 396 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 745.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 162,92
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 162,92
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In den WarenkorbZustand: New. In.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This handbook provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from statistics and computer science experts in industry and academia, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 175,03
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 175,03
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Unified Methods for Censored Longitudinal Data and Causality | Mark J. Van Der Laan (u. a.) | Taschenbuch | xii | Englisch | 2011 | Springer | EAN 9781441930552 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 210,78
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook for graduate students in statistics, data science, and public health dealswith the practical challenges that come with big, complex, and dynamic data. It presentsa scientific roadmap to translate real-world data science applications into formal statisticalestimation problems by using the general template of targeted maximum likelihoodestimators. These targeted machine learning algorithms estimate quantities of interestwhile still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniquescan answer complex questions including optimal rules for assigning treatment basedon longitudinal data with time-dependent confounding, as well as other estimands independent data structures, such as networks. Included in Targeted Learning in DataScience are demonstrations with soft ware packages and real data sets that present acase that targeted learning is crucial for the next generation of statisticians and datascientists. Th is book is a sequel to the first textbook on machine learning for causalinference, Targeted Learning, published in 2011.Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics andStatistics at UC Berkeley. His research interests include statistical methods in genomics,survival analysis, censored data, machine learning, semiparametric models, causalinference, and targeted learning. Dr. van der Laan received the 2004 Mortimer SpiegelmanAward, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005COPSS Presidential Award, and has graduated over 40 PhD students in biostatisticsand statistics.Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at HarvardMedical School. Her work is centered on developing and integratinginnovative statisticalapproaches to advance human health. Dr. Rose's methodological research focuseson nonparametric machine learning for causal inference and prediction. She co-leadsthe Health Policy Data Science Lab and currently serves as an associate editor for theJournal of the American Statistical Association and Biostatistics.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 223,44
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In den WarenkorbZustand: New. In.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - During the last decades, there has been an explosion in computation and information technology. This development comes with an expansion of complex observational studies and clinical trials in a variety of fields such as medicine, biology, epidemiology, sociology, and economics among many others, which involve collection of large amounts of data on subjects or organisms over time. The goal of such studies can be formulated as estimation of a finite dimensional parameter of the population distribution corresponding to the observed time- dependent process. Such estimation problems arise in survival analysis, causal inference and regression analysis. This book provides a fundamental statistical framework for the analysis of complex longitudinal data. It provides the first comprehensive description of optimal estimation techniques based on time-dependent data structures subject to informative censoring and treatment assignment in so called semiparametric models. Semiparametric models are particularly attractive since they allow the presence of large unmodeled nuisance parameters. These techniques include estimation of regression parameters in the familiar (multivariate) generalized linear regression and multiplicative intensity models. They go beyond standard statistical approaches by incorporating all the observed data to allow for informative censoring, to obtain maximal efficiency, and by developing estimators of causal effects. It can be used to teach masters and Ph.D. students in biostatistics and statistics and is suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 224,21
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 640 pages. 9.25x6.25x1.75 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 231,21
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In den WarenkorbPaperback. Zustand: Brand New. 409 pages. 9.25x6.10x0.93 inches. In Stock.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Targeted Learning | Causal Inference for Observational and Experimental Data | Mark J. Van Der Laan (u. a.) | Taschenbuch | Springer Series in Statistics | lxxii | Englisch | 2013 | Humana | EAN 9781461429111 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 256,87
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. 600.
Anbieter: Studibuch, Stuttgart, Deutschland
hardcover. Zustand: Wie neu. 628 Seiten; 9780387493169.1 Gewicht in Gramm: 2.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 277,90
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In den WarenkorbZustand: New. In.