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Hierarchical models for cross-classified overdispersed multinomial data
Jeffrey Wilson
, Kenneth J. Koehler
Economics
Business, W. P. Carey School of (WPC)
L. William Seidman Research Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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Dive into the research topics of 'Hierarchical models for cross-classified overdispersed multinomial data'. Together they form a unique fingerprint.
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Mathematics
Multinomial Model
95%
Hierarchical Model
84%
Proportion
37%
Overdispersion
35%
Integrated Circuits
20%
Wald Statistic
19%
Dirichlet Distribution
18%
Performance Evaluation
18%
Testing Hypotheses
17%
Repeated Measures
17%
Simple Random Sampling
16%
Business
15%
Clustering
13%
Identically distributed
13%
Covariance matrix
12%
Dirichlet
12%
Pairwise
12%
Vary
12%
Experiment
10%
Unit
9%
Alternatives
8%
Estimator
8%
Model
4%
Business & Economics
Hierarchical Model
100%
Overdispersion
35%
Dirichlet
31%
Proportion
25%
Random Sampling
17%
Performance Evaluation
17%
Integrated Circuits
16%
Business Data
15%
Repeated Measures
15%
Covariance Matrix
13%
Hypothesis Testing
12%
Clustering
10%
Estimator
9%
Statistics
8%
Experiment
7%
Alternatives
5%
Social Sciences
hypothesis testing
13%
performance evaluation
13%
statistics
8%
experiment
6%
cause
6%