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Publicado por Cambridge University Press, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Idioma: Inglés
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ISBN 10: 1108727344 ISBN 13: 9781108727341
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Idioma: Inglés
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Añadir al carritoPaperback or Softback. Condición: New. Biostatistics with R: An Introductory Guide for Field Biologists. Book.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
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Añadir al carritoCondición: New. pp. 382.
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Idioma: Inglés
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Idioma: Inglés
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ISBN 10: 1108727344 ISBN 13: 9781108727341
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Idioma: Inglés
Publicado por Cambridge University Press, 2021
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Añadir al carritoKartoniert / Broschiert. Condición: New. A straightforward introduction on how to analyse data from the field of biological research and conservation. All chapters are supplemented by thoroughly explained R code demonstrating interpretation of the results. An ideal reference for students, research.
Idioma: Inglés
Publicado por Cambridge University Press, 2021
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Añadir al carritoTaschenbuch. Condición: Neu. Biostatistics with R | An Introductory Guide for Field Biologists | Jan Leps (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Cambridge University Press | EAN 9781108727341 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Añadir al carritoPaperback. Condición: new. Paperback. Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses. Additional resources are provided on A straightforward introduction on how to analyse data from the field of biological research and conservation. All chapters are supplemented by thoroughly explained R code demonstrating interpretation of the results. An ideal reference for students, researchers and professionals, as well as lecturers of undergraduate courses. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
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Añadir al carritoPaperback. Condición: new. Paperback. Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses. Additional resources are provided on A straightforward introduction on how to analyse data from the field of biological research and conservation. All chapters are supplemented by thoroughly explained R code demonstrating interpretation of the results. An ideal reference for students, researchers and professionals, as well as lecturers of undergraduate courses. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108727344 ISBN 13: 9781108727341
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 71,87
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Añadir al carritoPaperback. Condición: new. Paperback. Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses. Additional resources are provided on A straightforward introduction on how to analyse data from the field of biological research and conservation. All chapters are supplemented by thoroughly explained R code demonstrating interpretation of the results. An ideal reference for students, researchers and professionals, as well as lecturers of undergraduate courses. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.