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Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics) - Hardcover
- PublisherSpringer
- Publication date2021
- ISBN 10 3030675823
- ISBN 13 9783030675820
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages245
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Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
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Hardcover. Condition: As New. No Jacket. 1st Edition. This is a fine, as new, hardcover first edition copy, no DJ, blue-yellow spine. This is an obviously unread copy that I got from the author. Seller Inventory # 095218
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Statistical Regression Modeling with R : Longitudinal and Multi-level Modeling
Published by
Springer International Publishing, 2021
ISBN 10: 3030675823
ISBN 13: 9783030675820
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 248 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 37342139/1
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Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)
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Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)
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Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)
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Statistical Regression Modeling with R
Published by
Springer International Publishing, Springer Nature Switzerland Apr 2021, 2021
ISBN 10: 3030675823
ISBN 13: 9783030675820
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 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. 248 pp. Englisch. Seller Inventory # 9783030675820
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Statistical Regression Modeling with R
Published by
Springer International Publishing, 2021
ISBN 10: 3030675823
ISBN 13: 9783030675820
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Hardcover
Seller: moluna, Greven, Germany
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Compiles commonly used regression methods that are essential for graduate students, applied data science, and relatedOffers a step-by-step implementation linear and multilevel regressions with normal and non-normal data and the application of R. Seller Inventory # 458552216
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Statistical Regression Modeling with R : Longitudinal and Multi-level Modeling
Published by
Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030675823
ISBN 13: 9783030675820
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783030675820
Quantity: 1 available
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Statistical Regression Modeling with R: Longitudinal and Multi-Level Modeling
Seller: Russell Books, Victoria, BC, Canada
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Condition: New. Special order direct from the distributor. Seller Inventory # ING9783030675820
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Statistical Regression Modeling With R: Longitudinal and Multi-level Modeling
Seller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 245 pages. 9.25x6.10x0.71 inches. In Stock. Seller Inventory # x-3030675823
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