Environmental Data Analysis Introduction by Dormann Carsten (10 results)

Condition: New. In English.

Paperback. Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Environmental Data Analysis | An Introduction with Examples in R | Carsten Dormann | Taschenbuch | xix | Englisch | 2021 | Springer | EAN 9783030550226 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Buch. Condition: 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.…

Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt 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.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.