Results 11 to 20 of about 25,265 (258)
Differentially expressed heterogeneous overdispersion genes testing for count data.
PLoS ONEThe mRNA-seq data analysis is a powerful technology for inferring information from biological systems of interest. Specifically, the sequenced RNA fragments are aligned with genomic reference sequences, and we count the number of sequence fragments ...
Yubai Yuan +11 more
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Statistical models for over-dispersion in the frequency of peaks over threshold data for a flow series. [PDF]
, 2010 In a peaks over threshold analysis of a series of river flows, a sufficiently high threshold is used to extract the peaks of independent flood events. This paper reviews existing, and proposes new, statistical models for both the annual counts of such ...
Tawn, Jonathan A., Eastoe, Emma F.
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Sensory difference tests: Overdispersion and warm-up
, 2021 For sensory difference tests, one way, but not the only way, of dealing with the problem of overdispersion is to use a beta-binomial analysis. Commonly, binomial statistical analyses are used for these methods and they assume that the sensitivity of the ...
이혜성
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Quantifying overdispersion in bird data [PDF]
, 2017 The statistical modelling of count data permeates the discipline of ecology. Such data often exhibit overdispersion compared with a standard Poisson distribution, so that the variance of the counts is greater than that of the mean.
Sheridan, Helen +5 more
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Testing for zero-modification in count regression models [PDF]
, 2006 Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
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PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON
E-Jurnal Matematika, 2013 Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance.
PUTU SUSAN PRADAWATI +2 more
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Entropy, 2022 Numerous methods have been developed for longitudinal binomial data in the literature. These traditional methods are reasonable for longitudinal binomial data with a negative association between the number of successes and the number of failures over ...
Xiaolei Zhang +3 more
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E-Jurnal Matematika, 2014 Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean.
NI MADE RARA KESWARI +2 more
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Quantifying overdispersion effects in count regression data [PDF]
, 2002 The Poisson regression model is often used as a first model for count data with covariates. Since this model is a GLM with canonical link, regression parameters can be easily fitted using standard software.
Sikora, I., Czado, Claudia
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Anthelmintic Treatment and the Stability of Parasite Distribution in Ruminants
Animals, 2023 Parasites are generally overdispersed among their hosts, with far-reaching implications for their population dynamics and control. The factors determining parasite overdispersion have long been debated.
Eric R. Morgan +4 more
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