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Editore: Stata Press, College Station, 2021
ISBN 10: 1597181382 ISBN 13: 9781597181389
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Paperback. Condizione: new. Paperback. Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes. Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Group, 2021
ISBN 10: 1597181382 ISBN 13: 9781597181389
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Lingua: Inglese
Editore: Stata Press, College Station, 2021
ISBN 10: 1597181382 ISBN 13: 9781597181389
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes. Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloPaperback. Condizione: New. Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.
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Aggiungi al carrelloCondizione: New. Sophia Rabe-Hesketh is a professor of educational statistics and biostatistics at the University of California, Berkeley.Anders Skrondal is a senior biostatistician at the Centre for Fertility and Health, Norwegia.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Multilevel and Longitudinal Modeling Using Stata, Volume II | Categorical Responses, Counts, and Survival | Anders Skrondal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Stata Press | EAN 9781597181389 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Aggiungi al carrelloPaperback. Condizione: New. Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.