Results 31 to 40 of about 26,597,943 (299)
Revstat Statistical Journal, 2020 In most of the longitudinal studies, involving count responses, excess zeros are common in practice. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes.
Taban Baghfalaki , Mojtaba Ganjali
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bioRxiv, 2018 In RNA-seq differential expression analysis, investigators aim to detect genes with changes in expression across conditions, despite technical and biological variability. A common task is to accurately estimate the effect size. When the counts are low or
Anqi Zhu, J. Ibrahim, M. Love
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Naught all zeros in sequence count data are the same.
Computational and Structural Biotechnology Journal, 2020 Genomic studies feature multivariate count data from high-throughput DNA sequencing experiments, which often contain many zero values. These zeros can cause artifacts for statistical analyses and multiple modeling approaches have been developed in ...
J. Silverman +3 more
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New statistical process control charts for overdispersed count data based on the Bell distribution [PDF]
Anais 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
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, 2023 Conference: Workshop/Exploring National Infrastructure for Public Access Usage and Impact Reporting Award Number:2315721; Principal Investigator:Charles Watkinson; Co-Principal Investigator:; Organization:Regents of the University of Michigan - Ann Arbor;NSF Organization:OAC Start Date:02/15/2023 https://www.nsf.gov/awardsearch/showAward?AWD_ID ...
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A comparison of residual diagnosis tools for diagnosing regression models for count data
BMC Medical Research Methodology, 2020 Background Examining residuals is a crucial step in statistical analysis to identify the discrepancies between models and data, and assess the overall model goodness-of-fit.
C. Feng, Longhai Li, A. Sadeghpour
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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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A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data
Mathematics, 2021 Spatiotemporal models for count data are required in a wide range of scientific fields, and they have become particularly crucial today because of their ability to analyze COVID-19-related data.
Maria Victoria Ibañez +2 more
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Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
G3: 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
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