MODELLING THE DETERMINANTS OF ADOPTION OF MULTIPLE CLIMATE CHANGE COPING AND ADAPTATION STRATEGIES. A MICRO ANALYSIS OF SMALLHOLDER FARMERS IN NORTHERN GHANA [PDF]
Review of Agricultural and Applied Economics, 2020 Climate change coping and adaptation (CCCA) mechanisms have become more relevant in the north of Ghana where there is evidence of severe impacts of climate change and poverty.
Shaibu Baanni AZUMAH +2 more
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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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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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Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples
Future Internet, 2022 Due to the expansion of the internet, we encounter various types of big data such as web documents or sensing data. Compared to traditional small data such as experimental samples, big data provide more chances to find hidden and novel patterns with big ...
Daiho Uhm, Sunghae Jun
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The Applications of Generalized Poisson Regression Models to Insurance Claim Data
Risks, 2023 Predictive modeling has been widely used for insurance rate making. In this paper, we focus on insurance claim count data and address their common issues with more flexible modeling techniques.
Pouya Faroughi, Shu Li, Jiandong Ren
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Count data models for demographic data∗ [PDF]
Mathematical Population Studies, 1994 Key demographic variables, such as the number of children and the number of marriages or divorces, can only take integer values. This papers deals with the estimation of single equation models in which the counts are regressed on a set of observed individual characteristics such as age, gender, or nationality.
Winkelmann, Rainer, Zimmermann, Klaus F
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Optimally designing drone‐based surveys for wildlife abundance estimation with N‐mixture models
Methods in Ecology and Evolution, 2023 Hierarchical N‐mixture models have been suggested for abundance estimation from spatiotemporally replicated drone‐based count surveys, since they allow modeling abundance of unmarked individuals while accounting for detection errors. However, it is still
Ismael V. Brack +3 more
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Model‐based biclustering for overdispersed count data with application in microbial ecology
Methods in Ecology and Evolution, 2021 Different studies have shown that microbial communities living in animals (humans included), in or around plants have a significant impact on health and disease of their host and on various services, such as adaptation under stressing environment.
Julie Aubert +2 more
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Count Data Time Series Modelling in Julia—The CountTimeSeries.jl Package and Applications
Entropy, 2021 A new software package for the Julia language, CountTimeSeries.jl, is under review, which provides likelihood based methods for integer-valued time series.
Manuel Stapper
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Counting triangles in data streams [PDF]
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2006 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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