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The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 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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PeerJ, 2020 Background Analysis of species count data in ecology often requires normalization to an identical sample size. Rarefying (random subsampling without replacement), which is the current standard method for normalization, has been widely criticized for its ...
Lukas Beule, P. Karlovsky
semanticscholar +1 more source
The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 In this article, a new distribution for count data analysis is introduced. Firstly, the Discrete Transmuted Generalized Inverse Weibull distribution (DTGIW) is constructed. Consequently, some useful sub-models are discussed.
Atchanut Rattanalertnusorn +1 more
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Towards Improving Transparency of Count Data Regression Models for Health Impacts of Air Pollution
Applied Sciences, 2021 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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Selection of Peach Varieties and the Role of Quality Attributes
Journal of Agricultural and Resource Economics, 2003 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]
Songklanakarin Journal of Science and Technology (SJST), 2016 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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glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data
bioRxiv, 2020 Motivation The Gamma-Poisson distribution is a theoretically and empirically motivated model for the sampling variability of single cell RNA-sequencing counts (Grün et al., 2014; Townes et al., 2019; Svensson, 2020; Silverman et al., 2018; Hafemeister ...
Constantin Ahlmann-Eltze, W. Huber
semanticscholar +1 more source
Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data
Frontiers in Microbiology, 2018 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
Regional Studies, Regional Science, 2021 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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Counting on count data models [PDF]
IZA World of Labor, 2015 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.
openaire +3 more sources