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Francesco Donelli
Giuseppe Giadone
Alessandro Esposito
Francesco Esposito
Outline of
the
presentation
Our dataset and goal of the analysis
Nature of the data and Poisson model
Zeros inflation and ZIP model
Model selection and predictive power
Final considerations
Goal of the analysis and content of the
dataset
 Goal: finding a good model with respect to both predictive power and model validation
criteria.
 Content: records about the number of eggs fished through the coasts of England, France and
Ireland.
 Variables:
• Egg count: number of eggs fished [response variable];
• Time: recording time;
• Flow: power of sea currents;
• C.dist: distance from sample to 200m contour (degrees);
• Salinity;
• S.depth: sampling start depth;
• Temp.surf: sea temperature;
• Net area: sampling net area.
Why remove latitude and longitude?
COLLINEARITY TEST OF THE
VARIABLES
Poisson model
SUMMARY OF THE POISSON MODEL
RESIDUALS vs FITTED
• Check for Leverages • Check for Outliers • Check for Influential Points
HOW MANY ZERO?
Hurdle or ZIP?
ZIP Model
SUMMARY OF THE ZIP MODEL
 VALUE OF AIC WITH ALL VALUES OF
FLOW
VALUE OF MSE WITH ALL VALUES OF
FLOW
EFFECTS OF FLOW
NEW SUMMARY OF THE MODEL
 PLOT OF AIC WITHOUT HIGH VALUES
OF FLOW
 PLOT OF MSE WITHOUT HIGH VALUES
OF FLOW
Final conclusions (ZIP model)
WHO NEEDS OUR MODEL?
Egg count
EGG COUNT PREDICTED FOR
IRLAND AND SPAIN
THANKS FOR
ATTENTION
APPENDIX
Vuong test (zip is model 1)
Ocount: actual zeros
Pcount: predicted zeros
• Python code used to
implement the maps
Python code used to
create graphics in Final
conclusion slides
Poisson model residuals
ZIP model residuals vs fitted
Hurdle model

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Group 7 power presentation.pptx