Results 81 to 90 of about 84,615 (280)
When analyzing data in the presence of over dispersion, the usual practice is to assume a common dispersion parameter to all observations. However, there are situations where the assumption of homogeneity of the dispersion parameter does not hold.
Morales Mario Alfonso +1 more
doaj
Robotic‐assisted rectal resection in Japan increased markedly after national insurance reimbursement in 2018, with a concurrent decline in open surgery. Using NDB Open Data, we found substantial inter‐prefectural heterogeneity in surgical volume and robotic utilization that persisted after age and sex standardization (SCR). Urban–rural differences were
Ryo Ohta +9 more
wiley +1 more source
On homogeneous skewness of unimodal distributions [PDF]
We introduce a new concept of skewness for unimodal continuous distributions which is built on the asymmetry of the density function around its mode. The asymmetry is captured through a skewness function.
Das, Shubhabrata +2 more
core +2 more sources
Analysis of distributional variation through multi-scale Beta-Binomial modeling
Many statistical analyses involve the comparison of multiple data sets collected under different conditions in order to identify the difference in the underlying distributions. A common challenge in multi-sample comparison is the presence of various confounders, or extraneous causes other than the conditions of interest that also contribute to the ...
Ma, Li, Soriano, Jacopo
openaire +2 more sources
Bayesian Estimation of the Shape Parameters of Mcdonald Generalized Beta-Binomial Distribution
The paper explores and establishes a unique Bayesian framework for estimating three shape parameters of the McDonald generalized beta-binomial distribution. The mixture distribution is used in modelling overdispersed binomial data. Foundations of the framework have been enriched by knowledge of Bayesian statistics and Markov Chain Monte Carlo methods ...
Immaculate Kathomi Murithi +3 more
openaire +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Heterogeneous model for superdiffusive movement of dense core vesicles in C. elegans
Transport of dense core vesicles (DCVs) in neurons is crucial for distributing molecules like neuropeptides and growth factors. We studied the experimental trajectories of dynein-driven directed movement of DCVs in the ALA neuron in C.
Anna Gavrilova +3 more
doaj +1 more source
Bayesian Verification Scheme for Software Reliability Based on Staged Growth Test Information [PDF]
The prior distribution determination methods of existing Bayesian schemes are relatively conservative and ideal for processing software reliability phased growth testing information.In this article,an edge distribution model for the software success ...
WANG Yuzhuo, LIU Haitao, YUAN Haojie, ZHAI Yali, ZHANG Zhihua
doaj +1 more source
Abstract Although peer support is central to the social model approach emphasized in sober living houses (SLHs), no longitudinal studies have examined helping among SLH residents. This longitudinal study examined benefits of helping in three contexts among SLH residents. Data were from 205 participants entering 28 SLHs across 2021–2023. Interviews were
Sarah E. Zemore +4 more
wiley +1 more source

