Results 81 to 90 of about 22,911 (304)
Media Statistika, 2012 Poisson regression is one of model that is often used to model the relationship between response variables in the form of discrete data with a set of predictor variables in the form of continuous, discrete, category, or mixture data.
Muhammad Taufan +2 more
doaj +1 more source
Journal of Forecasting, Volume 45, Issue 4, Page 1579-1600, July 2026.ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
A note on overdispersion as an index of behavioural synchrony: a pilot study in dairy cows
Animal, 2011 We developed a method for studying the synchrony of behaviour based on calculations of overdispersion of a binomial process. The lying behaviour of cows was investigated under two different housing units inside the same barn.
S. Raussi +5 more
doaj +1 more source
Global Strategy Journal, EarlyView.Abstract Research Summary This study examines how international diversification interacts with government affiliation to shape innovation outcomes in emerging market firms. We reconceptualize government affiliation as a resource‐structuring mechanism that varies across hierarchical levels and influences the coherence of firms' dominant logics of ...
Danielle R. Combs +3 more
wiley +1 more source
Local sequence and sequencing depth dependent accuracy of RNA-seq reads
BMC Bioinformatics, 2017 Background Many biases and spurious effects are inherent in RNA-seq technology, resulting in a non-uniform distribution of sequencing read counts for each base position in a gene.
Guoshuai Cai +3 more
doaj +1 more source
Visualizing overdispersion (with trees)
Freakonometrics, 2013 This week, we started to discuss overdispersion when modeling claims frequency. In my previous post, I discussed computations of empirical variances with different exposure. But I did use only one factor to compute classes.
Arthur Charpentier
openaire +3 more sources
Food insecurity and hospital resource utilization
Journal of Hospital Medicine, EarlyView.Abstract Background Food insecurity (FI) is an important pediatric social risk factor associated with worse health outcomes. However, there is a paucity of data on FI's effects on hospitalized children and hospital‐based reutilization. Methods This single‐center, retrospective cohort study included children admitted between 2020 and 2023 to evaluate ...
Adolfo L. Molina +8 more
wiley +1 more source
An overdispersion model in meta-analysis
, 2014 We propose a general approach based on the concept of overdispersion for specification of a random effects model (REM) in meta-analysis. This approach is similar to that used in generalized linear models, and includes the traditional REM as a particular ...
Kulinskaya, Elena, Olkin, Ingram
core +1 more source
Ch‐Ch‐Ch‐Ch‐Changes: The Impact of Supply Base Growth, Contraction, and Turnover on Firm Innovation
Journal of Operations Management, Volume 72, Issue 4, Page 606-626, June 2026.ABSTRACT Modern supply chains are experiencing more disturbances due to regulatory shifts, rising sustainability standards, emerging or declining markets, and disruption to critical inputs. Some firms react by strengthening existing supplier partnerships to resist changes, while others reconfigure relationships with suppliers to embrace changes ...
Jordan M. Barker +3 more
wiley +1 more source
Smooth-car mixed models for spatial count data [PDF]
Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Dae-Jin Lee, Maria Durban
core