Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)

Chen, Ding-Geng (Din); Chen, Jenny K.

ISBN 10: 3030675858 ISBN 13: 9783030675851
Verlag: Springer, 2022
Neu Softcover

Verkäufer Ria Christie Collections, Uxbridge, Vereinigtes Königreich Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

AbeBooks-Verkäufer seit 25. März 2015


Beschreibung

Beschreibung:

In. Bestandsnummer des Verkäufers ria9783030675851_new

Diesen Artikel melden

Inhaltsangabe:

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.

Über die Autorin bzw. den Autor:

Dr. Ding-Geng Chen is a fellow of the American Statistical Association and currently the Wallace H. Kuralt Distinguished Professor at the University of North Carolina at Chapel Hill. He was a professor in biostatistics at the University of Rochester and the Karl E. Peace Endowed Eminent Scholar Chair in biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceutical organizations and government agencies with extensive expertise in Monte Carlo simulations, clinical trial biostatistics, and public health statistics. Dr. Chen has more than 200 professional publications, and he has coauthored/coedited 31 books on clinical trial methodology, meta-analysis, data sciences, Monte Carlo simulation-based statistical modeling, and public health applications. He has been invited nationally and internationally to give speeches on his research.

Ms. Jenny K. Chen graduated with a master's degree from the Department of Statistics and Data Science at Cornell University. She is currently working as a financial analyst at Morgan Stanley (Midtown New York Office) for their Wealth Management division. Previously, Jenny worked as a product manager for Google, where she led a team of data scientists to develop several prediction algorithms for the 2019 NCAA March Madness Basketball Tournament. She has published several research papers in statistical modeling and data analytics.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: Statistical Regression Modeling with R: ...
Verlag: Springer
Erscheinungsdatum: 2022
Einband: Softcover
Zustand: New

Beste Suchergebnisse beim ZVAB

Beispielbild für diese ISBN

K. Chen Jenny
Verlag: Springer, 2022
ISBN 10: 3030675858 ISBN 13: 9783030675851
Neu Softcover

Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Artikel-Nr. 401729381

Verkäufer kontaktieren

Neu kaufen

EUR 86,79
EUR 7,43 shipping
Versand von Vereinigtes Königreich nach USA

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Ding-Geng Chen (u. a.)
Verlag: Springer, 2022
ISBN 10: 3030675858 ISBN 13: 9783030675851
Neu Taschenbuch

Anbieter: preigu, Osnabrück, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Statistical Regression Modeling with R | Longitudinal and Multi-level Modeling | Ding-Geng Chen (u. a.) | Taschenbuch | xvii | Englisch | 2022 | Springer | EAN 9783030675851 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 121347359

Verkäufer kontaktieren

Neu kaufen

EUR 93,45
EUR 70,00 shipping
Versand von Deutschland nach USA

Anzahl: 5 verfügbar

In den Warenkorb

Foto des Verkäufers

Jenny K. Chen
ISBN 10: 3030675858 ISBN 13: 9783030675851
Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience,Statistical Regression Modelingpromotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields. Artikel-Nr. 9783030675851

Verkäufer kontaktieren

Neu kaufen

EUR 106,99
EUR 61,91 shipping
Versand von Deutschland nach USA

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Jenny K. Chen
ISBN 10: 3030675858 ISBN 13: 9783030675851
Neu Taschenbuch

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Neuware -This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Artikel-Nr. 9783030675851

Verkäufer kontaktieren

Neu kaufen

EUR 106,99
EUR 60,00 shipping
Versand von Deutschland nach USA

Anzahl: 2 verfügbar

In den Warenkorb