Results 21 to 30 of about 1,438,925 (267)

The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications [PDF]

open access: yesSongklanakarin 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
doaj   +1 more source

Modeling and Simulation of Count Data [PDF]

open access: yesCPT: Pharmacometrics & Systems Pharmacology, 2014
Count data, or number of events per time interval, are discrete data arising from repeated time to event observations. Their mean count, or piecewise constant event rate, can be evaluated by discrete probability distributions from the Poisson model family. Clinical trial data characterization often involves population count analysis.
openaire   +3 more sources

Granular counting of uncertain data

open access: yesFuzzy Sets and Systems, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Corrado Mencar, Witold Pedrycz
openaire   +3 more sources

Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples

open access: yesFuture 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

Counts-of-counts similarity for prediction and search in relational data [PDF]

open access: yesData Mining and Knowledge Discovery, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manfred Jaeger   +3 more
openaire   +1 more source

The Applications of Generalized Poisson Regression Models to Insurance Claim Data

open access: yesRisks, 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

New statistical process control charts for overdispersed count data based on the Bell distribution [PDF]

open access: yesAnais da Academia Brasileira de Ciências, 2023
Poisson distribution is a popular discrete model used to describe counting information, from which traditional control charts involving count data, such as the c and u charts, have been established in the literature.
LAION L. BOAVENTURA   +4 more
doaj   +1 more source

Mediation analysis for count and zero-inflated count data [PDF]

open access: yesStatistical Methods in Medical Research, 2017
Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with ...
Cheng, Jing   +5 more
openaire   +4 more sources

Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction

open access: yesG3: Genes, Genomes, Genetics, 2016
Genomic tools allow the study of the whole genome, and facilitate the study of genotype-environment combinations and their relationship with phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes.
Abelardo Montesinos-López   +8 more
doaj   +1 more source

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