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Sinopsis
Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.
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Acerca del autor
Carsten Dormann is a Professor of Biometry and Environmental System Analysis at the Faculty of Environment and Natural Resources, University of Freiburg, Germany. After completing his PhD in Plant Ecology at the University of Aberdeen, UK, he went on to become a statistical ecologist, with a research remit spanning from conservation ecology to the development of statistical methods, and from field experiments to population modelling. He currently teaches statistics at the BSc and MSc levels, from introductory classes to Bayesian statistics and machine learning.
De la contraportada
Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been field-tested in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.
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Environmental Data Analysis
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Springer International Publishing, 2020
ISBN 10: 3030550192
ISBN 13: 9783030550196
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an introduction to statistical methods relevant for environmental scienceIs centred on the GLM as a general and flexible statistical approachIncludes a back-to-back structure, with practical R code chapters complementing each example-dr. Nº de ref. del artículo: 426728446
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Environmental Data Analysis
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Springer International Publishing Dez 2020, 2020
ISBN 10: 3030550192
ISBN 13: 9783030550196
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been 'field-tested' in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. 284 pp. Englisch. Nº de ref. del artículo: 9783030550196
Cantidad disponible: 2 disponibles
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Environmental Data Analysis : An Introduction with Examples in R
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030550192
ISBN 13: 9783030550196
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been 'field-tested' in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. Nº de ref. del artículo: 9783030550196
Cantidad disponible: 1 disponibles
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Parametrische Statistik : An Introduction With Examples in R
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 43501022-n
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Environmental Data Analysis
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Springer International Publishing, Springer International Publishing Dez 2020, 2020
ISBN 10: 3030550192
ISBN 13: 9783030550196
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. Neuware -Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been ¿field-tested¿ in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. Nº de ref. del artículo: 9783030550196
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Parametrische Statistik : An Introduction With Examples in R
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 43501022
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Parametrische Statistik: An Introduction With Examples in R
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Hardcover. Condición: Brand New. 264 pages. 9.25x6.10x0.79 inches. In Stock. Nº de ref. del artículo: x-3030550192
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Environmental Data Analysis (Hardcover)
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Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030550192
ISBN 13: 9783030550196
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Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
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Hardcover. Condición: new. Hardcover. Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been field-tested in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. Environmental Data Analysis is an introductory statistics textbook for environmental science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783030550196
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Environmental Data Analysis: An Introduction with Examples in R
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Hardcover. Condición: New. New. book. Nº de ref. del artículo: ERICA77330305501926
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