Modeling overdispersed dengue data via poisson inverse gaussian regression model: A case study in the city of campo grande, ms, brazil
EF Saraiva, VP Vigas, MV Flesch, M Gannon… - Entropy, 2022 - mdpi.com
Dengue fever is a tropical disease transmitted mainly by the female Aedes aegypti mosquito
that affects millions of people every year. As there is still no safe and effective vaccine …
that affects millions of people every year. As there is still no safe and effective vaccine …
Effects of Color Attributes on Trap Capture Rates of Chrysobothris femorata (Coleoptera: Buprestidae) and Related Species
CL Perkovich, KM Addesso, JP Basham… - Environmental …, 2022 - academic.oup.com
Abstract Chrysobothris spp.(Coleoptera: Buprestidae) and other closely related buprestids
are common pests of fruit, shade, and nut trees in the United States. Many Chrysobothris …
are common pests of fruit, shade, and nut trees in the United States. Many Chrysobothris …
The Wald-type Confidence Interval on the Mean Response Function of the Poisson Inverse Gaussian Ridge Regression: Accepted: October 2023
The negative binomial (NB) regression model is commonly used to model overdispersed
count data. However, the NB regression model is not suitable for highly overdispersed data …
count data. However, the NB regression model is not suitable for highly overdispersed data …
Liu-Type Estimator for the Poisson-Inverse Gaussian Regression Model: Simulation and Practical Applications
H Alrweili - Statistics, Optimization & Information Computing, 2024 - iapress.org
Abstract The Poisson-Inverse Gaussian regression model (PIGRM) is commonly used to
analyze count datasets with over-dispersion. While the maximum likelihood estimator (MLE) …
analyze count datasets with over-dispersion. While the maximum likelihood estimator (MLE) …
Geographically weighted bivariate Poisson inverse Gaussian regression modeling with the Berndt-Hall-Hall-Hausman algorithm on maternal and neonatal mortality …
N Ikhsani, ET Herdiani, A Islamiyati - Commun. Math. Biol. Neurosci., 2024 - scik.org
Maternal and neonatal mortality rates in South Sulawesi remain higher than the national
average across all provinces in Indonesia. This study aims to identify significant variables for …
average across all provinces in Indonesia. This study aims to identify significant variables for …
Modeling Adverse Events Counts in the Bulgarian Pharmacovigilance Database
L Antonov, B Kirilov, K Dokova - 2023 - preprints.org
We tested the possibility of using “adverse events count”(AEC) as a drug-risk indicator and
side-effect severity indicator. Data from 3938 adverse event (AE) reports for COVID-19 …
side-effect severity indicator. Data from 3938 adverse event (AE) reports for COVID-19 …
PEMODELAN JUMLAH KEMATIAN NEONATAL DI PROVINSI SULAWESI SELATAN MENGGUNAKAN REGRESI POISSON INVERSE GAUSSIAN
Kematian neonatus adalah kematian bayi yang lahir hidup sampai dengan 28 hari sejak
lahir. Angka kematian neonatal di Provinsi Sulawesi Selatan pada tahun 2018 masih cukup …
lahir. Angka kematian neonatal di Provinsi Sulawesi Selatan pada tahun 2018 masih cukup …
Uso das distribuições Poisson, Poisson-Gama, Poisson-Inversa Gaussiana e Poisson-Lindley Generalizada para dados de contagem
CG Duarte - 2021 - repositorio.ufc.br
RESUMO Os Modelos Lineares Generalizados (MLGs) surgiram como uma alternativa aos
Modelos Lineares Clássicos quando a variável resposta não segue uma distribuição …
Modelos Lineares Clássicos quando a variável resposta não segue uma distribuição …
[引用][C] Uso das distribuições Poisson, Poisson-Gama, Poisson-Inversa Gaussiana e Poisson-Lindley Generalizada para dados de contagem
SM de Freitas, CG Duarte - Sigmae, 2023