Results 21 to 30 of about 1,438,925 (267)
The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications [PDF]
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]
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
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
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]
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
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]
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]
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
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

