Analyzing spatial ecological data using linear regression and wavelet analysis

DOI10.1007/S00477-007-0117-2zbMath1149.62094OpenAlexW1982534941WikidataQ56817150 ScholiaQ56817150MaRDI QIDQ954696

Gudrun Carl, Ingolf Kühn

Publication date: 17 November 2008

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-007-0117-2

zbMATH Keywords

spatial autocorrelationbinary datamultiple regressiondistribution datanormal data

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12)

Related Items (1)

Comparative Study of Generalized Estimating Equations and Logistic Regressions on Different Sample Sizes and Correlation Levels

Uses Software

• R
• geepack
• gee
• Waveslim
• astsa

Cites Work

• Longitudinal data analysis using generalized linear models
• Ten Lectures on Wavelets
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