Results 1 to 10 of about 824 (147)

Modeling road accident fatalities with underdispersion and zero-inflated counts. [PDF]

PLoS ONE, 2022
In 2013, Thailand was ranked second in the world in road accident fatalities (RAFs), with 36.2 per 100,000 people. During the Songkran festival, which takes place during the traditional Thai New Year in April, the number of road traffic accidents (RTAs ...
Teerawat Simmachan, Noppachai Wongsai, Sangdao Wongsai, Rattana Lerdsuwansri   +3 more
doaj   +3 more sources

Correction: Modeling road accident fatalities with underdispersion and zero-inflated counts. [PDF]

PLoS ONE
[This corrects the article DOI: 10.1371/journal.pone.0269022.].
Teerawat Simmachan, Noppachai Wongsai, Sangdao Wongsai, Rattana Lerdsuwansri   +3 more
doaj   +4 more sources

Characteristics of Tropical Cyclone Genesis Forecasts and Underdispersion in High-Resolution Ensemble Forecasting with a Stochastic Kinetic Energy Backscatter Scheme

Tropical Cyclone Research and Review, 2014
: This study evaluates ensemble forecasts with a stochastic kinetic energy backscatter scheme (SKEBS) to predict tropical cyclone (TC) genesis and also to characterize the related ensemble underdispersion. Several sets of ensemble forecasts are generated
Levi Thatcher, Zhaoxia Pu
doaj   +2 more sources

A Modified Negative Binomial Distribution: Properties, Overdispersion and Underdispersion

Journal of Statistical Theory and Applications (JSTA), 2019
In this paper, we introduce a new and useful discrete distribution (modified negative binomial distribution) and its statistical and probabilistic properties are discussed.
Ghobad Barmalzan, Hadi Saboori, Sajad Kosari   +2 more
doaj   +2 more sources

Some developments on seasonal INAR processes with application to influenza data [PDF]

Scientific Reports, 2023
Influenza epidemic data are seasonal in nature. Zero-inflation, zero-deflation, overdispersion, and underdispersion are frequently seen in such number of cases of disease (count) data.
Fatimah E. Almuhayfith, Emmanuel W. Okereke, Manik Awale, Hassan S. Bakouch, Hana N. Alqifari   +4 more
doaj   +2 more sources

Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive review [PDF]

MethodsX
Count data time series, characterized by non-negative integer values, frequently arise across diverse domains, including finance, public health, economics, epidemiology, and environmental sciences.
Vinitha Serrao, Satyanarayana Poojari, Asha Kamath   +2 more
doaj   +2 more sources

A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada [PDF]

Scientific Reports
The generalized Poisson regression model (GPRM) provides a flexible framework for modeling count data, especially those exhibiting over- or underdispersion.
Fatimah M. Alghamdi, Ahmed M. Gemeay, Gamal A. Abd-Elmougod, Ehab M. Almetwally, M. A. El-Qurashi, Getachew Tekle Mekiso, Ali T. Hammad   +6 more
doaj   +2 more sources

Underdispersion: A statistical anomaly in reported Covid data. [PDF]

Signif (Oxf), 2022
Kobak D.
europepmc   +3 more sources

Genomic Prediction Ability for Novel Profitability Traits Using Different Models in Nelore Cattle. [PDF]

J Anim Breed Genet
ABSTRACT The aim of this study was to assess the accuracy, bias and dispersion of genomic predictions for accumulated profitability (APF) and profit per kilogram of liveweight gain (PFT) in Nelore cattle using different prediction approaches. The dataset consisted of 3969 phenotypic records for each trait. The pedigree harboured information from 38,930
Pereira LS, Magnabosco CU, Rosa G, Stafuzza NB, Albertini TZ, Carvalho M, Lobo RB, Peripolli E, da Costa Eifert E, Baldi F.   +9 more
europepmc   +2 more sources

Underdispersion in the reported Covid-19 case and death numbers may suggest data manipulations [PDF]

, 2022
Kobak D.
europepmc   +2 more sources