Results 41 to 50 of about 102,039 (264)

A non-uniform bound on Poisson approximation for a sum of negative binomial random variables [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2017
This paper uses the Stein–Chen method to determine a non-uniform bound on the point metric between the distribution of a sum of independent negative binomial random variables and a Poisson distribution with mean 1 n i i i r q     , where r i
Kanint Teerapabolarn
doaj   +1 more source

Integrated Transcriptomics Reveals Evolutionary Trajectories and Cell Density‐Dependent Mechanisms in Aldosterone‐Producing Adenomas

open access: yesAdvanced Science, EarlyView.
Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun   +7 more
wiley   +1 more source

Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial—Lindley Distribution

open access: yesOpen Journal of Statistics, 2012
The purpose of this study is to compare a negative binomial distribution with a negative binomial—Lindley by using stochastic orders. We characterize the comparisons in usual stochastic order, likelihood ratio order, convex order, expectation order and uniformly more variable order based on theorem and some numerical example of comparisons between ...
Chookait Pudprommarat, Winai Bodhisuwan
openaire   +2 more sources

Strawberry Notch 1 Acts as a Transcriptional Regulator Driving Oncogenic Programs in Liver Carcinogenesis

open access: yesAdvanced Science, EarlyView.
This study reports that SBNO1 protein is upregulated in several cancer entities. SBNO1 protein interacts with the basal transcription factor TFIID via TAF4, enabling its recruitment to transcription start sites and the modulation of target gene expression.
Sarah Fritzsche   +21 more
wiley   +1 more source

Thermal Plasticity is Regulated by a Key MicroRNA During Range Expansion of an Invasive Fruit Fly

open access: yesAdvanced Science, EarlyView.
Populations at the invasion front of Bactrocera dorsalis adapt through reduced phenotypic and gene expression plasticity, a phenomenon likely to be driven by genetic assimilation. We identify a key miRNA‐mediated regulatory axis, in which miR‐276b post‐transcriptionally represses thw, a conserved chitin‐binding gene critical to the cold‐tolerance ...
Yan Zhao   +5 more
wiley   +1 more source

A Bivariate Model based on Compound Negative Binomial Distribution

open access: yesRevista Colombiana de Estadística
A new bivariate model is introduced by compounding negative binomial and geometric distributions. Distributional properties, including joint, marginal and conditional distributions are discussed.
Maha Omair   +2 more
doaj   +1 more source

The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2015
The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong   +2 more
doaj  

IGF‐1 Deficiency Serves as an Integrated Biomarker Pathogenic Driver and Predictor in Poor Ovarian Response

open access: yesAdvanced Science, EarlyView.
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu   +9 more
wiley   +1 more source

Bayes and empirical bayes estimation of parameter K in negative binomial distribution [PDF]

open access: yesJournal of Hyperstructures, 2013
In this paper, the problem of estimating the number of successes, k, in a negative binomial distribution for both known and unknown probability p of success are examined by a Bayesian point of view. Also, we introduce two estimations for the parameter of
Masoud Ganji   +2 more
doaj   +1 more source

Estimation for the bivariate negative binomial distribution

open access: yesJournal of Statistical Computation and Simulation, 1985
Subrahmaniam and Subrahmaniam (1973) have considered several estimation procedures for the parameters of the bivariate negative binomial distribution. In this paper even-point estimators are examined and relative comparisons with maximum likelihood, moment and zero-zero cell frequency estimators are given.
Loukas, S., Papageorgiou, H.
openaire   +3 more sources

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