Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 76,92
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Añadir al carritopaperback. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
EUR 118,10
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Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
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Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 128,66
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 121,62
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Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 142,78
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Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por SAGE Publications Inc, Thousand Oaks, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 148,76
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Añadir al carritoPaperback. Condición: new. Paperback. Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 140,43
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Idioma: Inglés
Publicado por SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 145,73
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 708 pages. 8.75x7.25x1.25 inches. In Stock.
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Idioma: Inglés
Publicado por SAGE Publications Inc, Thousand Oaks, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 224,79
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Añadir al carritoPaperback. Condición: new. Paperback. Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por SAGE Publications Inc Mai 2022, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 135,30
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal,and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site. 744 pp. Englisch.
Idioma: Inglés
Publicado por Sage Publications, SAGE Publications, Inc, 2022
ISBN 10: 1544324901 ISBN 13: 9781544324906
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 143,25
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal,and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.