Results 51 to 60 of about 4,654,667 (290)
Improved shrinkage estimators in zero-inflated negative binomial regression model
Hacettepe Journal of Mathematics and Statistics, 2021 Zero-inflated negative binomial model is an appropriate choice to model count response variables with excessive zeros and over-dispersion simultaneously. This paper addressed parameter estimation in the zero-inflated negative binomial model when there are many parameters, so that some of them have not influence on the response variable. We proposed
Zahra ZANDİ +2 more
openaire +3 more sources
Results from Zero Inflated Negative Binomial Model (Y = Wildfire Count).
, 2016 Results from Zero Inflated Negative Binomial Model (Y = Wildfire Count).
Lorraine E. Flint (391947) +7 more
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Floral traits and hermaphrodite abundance shape female advantage in a gynodioecious plant
American Journal of Botany, EarlyView.Abstract Premise Gynodioecy is maintained through female advantage in seed fitness that depends on the sex ratio of a population. We hypothesized that females of Silene acaulis would exhibit floral traits associated with elevated outcross pollination and that sex ratio would impact pollen limitation and inbreeding depression such that female advantage ...
Emma K. Chandler, Megan L. DeMarche
wiley +1 more source
Moment Estimators of the Parameters of Zero-One Inflated Negative Binomial Distribution [PDF]
, 2017 In this paper, zero-one inflated negative binomial distribution is considered, along with some of its structural properties, then its parameters were estimated using the method of moments. It is found that the method of moments to estimate the parameters
Rafid Saeed Abdulrazak Alshkaki
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Breaking point: Identifying the factors that predict suspension from school
British Educational Research Journal, EarlyView.Abstract School suspensions are associated with adverse educational and psychosocial outcomes, yet little is known about how structural disadvantage, relational factors, health behaviours, well‐being indicators and school‐level factors jointly predict suspension risk in England.
Stephanie Cahill +5 more
wiley +1 more source
Negative Binomial Two-Parameter Lindley generalized linear model for modeling count data
Research in StatisticsZero-inflated data, characterized by excessive zero counts, is a common challenge in various fields, particularly in insurance data. In most cases, count data exhibits overdispersion and excess zeros; models that fail to account for these characteristics
Samwel Karanja Kamau +3 more
doaj +1 more source
Journal of Advanced Engineering and Computation, 2020 This paper compares the performance of the gradient and Newton-Raphson (N-R) method to estimate parameters in some zero-inflated (ZI) regression models such as the zero-inflated Poisson (ZIP) model, zero-inflated Bell (ZIBell) model, zero-inflated ...
Kim-Hung Pho, Buu-Chau Truong
doaj +1 more source
Simulation Study of Zero Inflated Negative Binomial Regression
CAUCHY: Jurnal Matematika Murni dan AplikasiThis study aims at evaluating the performance of Zero Inflated Negative Binomial (ZINB) regression analysis using the Maximum Likelihood Estimation (MLE) approach through simulation study. The research data used are secondary data and simulations. Secondary data was obtained from the Ministry of Health of the Republic of Indonesia in 2023 regarding ...
Santi Wahyu Salsabila +2 more
openaire +1 more source
, 2019 Zero-inflated negative binomial (ZINB) model fit to malaria episode counts per person in urban Mâncio Lima, northwestern Brazil.
Marcelo U. Ferreira (7180982) +3 more
core +1 more source
The environmental dependence of ecological interaction networks
Biological Reviews, EarlyView.ABSTRACT Interactions between species are often assumed to occur whenever species pairs co‐occur, allowing us to reconstruct local ecological networks from a deterministic ‘metaweb’. Over the past few years, an increasing number of papers have called for a reassessment of this simplistic assumption.
Bastien Parisy +2 more
wiley +1 more source