Modelling changes in Arctic sea ice cover: an application of generalized and inflated beta and gamma densities

DOI10.1186/2195-5832-1-3zbMath1329.86022OpenAlexW2145070260WikidataQ59399713 ScholiaQ59399713MaRDI QIDQ499757

Peter Congdon

Publication date: 6 October 2015

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/2195-5832-1-3

zbMATH Keywords

Bayesianinflated gammainflated generalized betasea ice extentseasonal extremes

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Hydrology, hydrography, oceanography (86A05) Geostatistics (86A32)

Uses Software

• BUGS

Cites Work

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• Count data regression charts for the monitoring of surveillance time series
• Inflated beta distributions
• Spatial regression modeling for compositional data with many zeros
• Compositional data analysis: Where are we and where should we be heading?
• The generalized beta- and F-distributions in statistical modelling
• Time series of count data: Modeling, estimation and diagnostics
• Individual effects and dynamics in count data models.
• Parsimony and Its Importance in Time Series Forecasting

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