Results 31 to 40 of about 120 (106)
CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI
Overdispersion is a common problem in count data that can lead to inaccurate parameter estimates in Poisson regression models. Quasi-Poisson and negative binomial regressions are often used to address overdispersion but have limitations, especially with ...
Oktaviana Oktaviana +4 more
doaj +1 more source
The abundance and density of three common sycamore aphids increased under elevated CO2, although this was only statistically significant for Drepanosiphum platanoidis. The number of nymphs produced by individual D. platanoidis alates isolated in clip cages was not significantly affected, suggesting that population level response was not driven by ...
Liam M. Crowley +7 more
wiley +1 more source
Generalised count distributions for modelling parity
Background: Parametric count distributions customarily used in demography - the Poisson and negative binomial models - do not offer satisfactory descriptions of empirical distributions of completed cohort parity.
Bilal Barakat
doaj +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source
The zero-inflated Conway-Maxwell Poisson (ZICOMP) distribution models count data with many zero observations. This distribution assumes that zero observations occur with probability $$\:p$$ , and the count of nonconformities in a product unit follows the
Aqsa Sattar +5 more
doaj +1 more source
ReMoDe – Recursive modality detection in distributions of ordinal data
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
In an experimental brood‐size manipulation in Alpine swifts, smaller nestlings were selectively lost during growth, eliminating treatment differences in adult size, yet individuals from enlarged broods showed higher reproductive performance. Abstract Environmental conditions experienced early in life can shape growth, morphology and survival, and can ...
Bashar Jarayseh +2 more
wiley +1 more source
PurposeThis study investigates the determinants of smoking behavior among young adults in Khuzestan province, southwest Iran, using two-level count regression models. Given the high prevalence of smoking-related diseases and the social impact of smoking,
Homayoun Satyar +4 more
doaj +1 more source
A sequential quadratic Hamiltonian‐based estimation method for Box‐Cox transformation cure model
ABSTRACT We propose an enhanced estimation method for the Box‐Cox transformation (BCT) cure rate model parameters by introducing a generic maximum likelihood estimation algorithm, the sequential quadratic Hamiltonian (SQH) scheme, which is based on a gradient‐free approach.
Phuong Bui +3 more
wiley +1 more source
Goodness-of-Fit Tests for COM-Poisson Distribution Using Stein's Characterization
A crucial part of data analysis is to assess the adequacy of the fit of the probability models used, and such assessment is generally made using the goodness-of-fit tests.
Traison T, V S Vaidyanathan
doaj +1 more source

