Results 11 to 20 of about 1,438,925 (267)
A Primer on Copulas for Count Data [PDF]
The authors review various facts about copulas linking discrete distributions. They show how the possibility of ties that results from atoms in the probability distribution invalidates various familiar relations that lie at the root of copula theory in the continuous case.
Genest, Christian, Nešlehová, Johanna
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The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
Mixed Poisson distributions have been applied for overdispersed count data analysis. In this paper, an alternative mixed Poisson distribution is proposed.
Yupapin Atikankul +2 more
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Selection of Peach Varieties and the Role of Quality Attributes
Timely adoption of new varieties is critical to profitable peach production, and peach quality is a primary factor driving adoption. An adoption model for peach varieties is estimated, incorporating grower evaluations of peach quality.
Timothy A. Park, Wojciech J. Florkowski
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The Poisson-generalised Lindley distribution and its applications [PDF]
The Poisson distribution plays important role in count data analysis. However, the Poisson distribution cannot model some data with over-dispersion because of its property, equi-dispersion.
Weerinrada Wongrin, Winai Bodhisuwan
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Towards Improving Transparency of Count Data Regression Models for Health Impacts of Air Pollution
In studies on the health impacts of air pollution, regression analysis continues to advance far beyond classical linear regression, which many scientists may have become familiar with in an introductory statistics course.
John F. Joseph +4 more
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Counting on count data models [PDF]
Often, economic policies are directed toward outcomes that are measured as counts. Examples of economic variables that use a basic counting scale are number of children as an indicator of fertility, number of doctor visits as an indicator of health care demand, and number of days absent from work as an indicator of employee shirking.
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Counting triangles in data streams [PDF]
We present two space bounded random sampling algorithms that compute an approximation of the number of triangles in an undirected graph given as a stream of edges. Our first algorithm does not make any assumptions on the order of edges in the stream. It uses space that is inversely related to the ratio between the number of triangles and the number of ...
Luciana S. Buriol +4 more
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Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data
The metagenomics sequencing data provide valuable resources for investigating the associations between the microbiome and host environmental/clinical factors and the dynamic changes of microbial abundance over time.
Xinyan Zhang +6 more
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Empirical methods in business location research
A frequent theme in regional science is exploring the determinants of business establishment locations. We briefly review the theoretical perspectives motivating several frameworks underpinning locational determinant analyses.
Craig Wesley Carpenter +2 more
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In most of the longitudinal studies, involving count responses, excess zeros are common in practice. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes.
Taban Baghfalaki , Mojtaba Ganjali
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