Count data - Open Access .click

Biometrics, 1998
Among the tests that can be used to detect dose-related trends in count data from toxicological studies are nonparametric tests such as the Jonckheere-Terpstra and likelihood-based tests, for example, based on a Poisson model. This paper was motivated by a data set of tumor counts in which conflicting conclusions were obtained using these two tests. To
Weller, Edie A., Ryan, Louise M.
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Count or Not to Count

Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, 2015
Counts of objects are important for big data analytics. However, spatial objects do not work well with counts. We present the latest developments on distinct counting problem. In particular, we explain Euler Histograms, which are a category of spatial data structures that address the distinct counting challenges.
Egemen Tanin, Hairuo Xie
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Count Panel Data

2015
This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and xed e ects. The paper surveys quasi-ML methods based on the Poisson, as
Cameron, Colin, Trivedi, Pravin K.
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Regression Analysis of Count Data

1998
Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data.
Cameron, A. Colin, Trivedi, Pravin K.
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overdispersion
3. good health
1. no poverty

humans
models, statistical
poisson distribution

counting
statistics
maximum likelihood