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An INAR(1) negative multinomial regression model for longitudinal count data
Ulf Böckenholt
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peer-review
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Dive into the research topics of 'An INAR(1) negative multinomial regression model for longitudinal count data'. Together they form a unique fingerprint.
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Economics, Econometrics and Finance
Regression Model
100%
Count Data
25%
Panel Study
12%
Levy Process
12%
Order
12%
Social Sciences
Analysis
25%
Approach
25%
Distribution
25%
Personality Factor
12%
Experience
12%
Time
12%
Representation
12%
Correlation
12%
Emotions
12%
Mathematics
Count Data
25%
Integer
12%
Random Effect
12%
Bivariate
12%
Multinomial Distribution
12%
Negative Binomial Distribution
12%
Order
12%
Correlation
12%
INIS
data
25%
distribution
25%
correlations
12%
time dependence
12%
panels
12%
randomness
12%