Results 11 to 20 of about 26,443,777 (315)
Health Psychology and Behavioral Medicine, 2021 Background Dependent variables in health psychology are often counts, for example, of a behaviour or number of engagements with an intervention. These counts can be very strongly skewed, and/or contain large numbers of zeros as well as extreme outliers ...
James Green
exaly +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Scientific Data, 2015 Science is built on a foundation of data. The production and publication of that data should be recognized as valuable scholarship, but data lacks an essential prerequisite for modern-day scholarly recognition—accepted metrics of significance. The scientific community has traditionally estimated the impact of a journal article by counting the number of
Kratz, John E., Strasser, Carly
openaire +6 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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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count-data-diaphragm-annotated.h5ad
, 2021 tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core +1 more source