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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Dezember 2021
Genre:	Schulbücher
	ANOVA / clusteranalysis / DataVisualisation / DesignofExperiments / DV-gestützte Biologie/Bioinformatik / Environmetrics / Forstwirtschaft und Waldbau# Praxis und Techniken / generalizedlinearmodels / Hypothesistesting / maximumlikelihood / ModelSelection / MultipleRegression / principalcomponentanalysis / REGRESSION / Wahrscheinlichkeitsrechnung und Statistik mehr...
ISBN:	9783030550226
EAN-Code:	9783030550226
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 279 mm / B 210 mm / D 16 mm
Gewicht:	699 gr
Seiten:	284
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.