Results 71 to 80 of about 14,479,772 (204)

Designs for generalized linear models with random block effects via information matrix approximations

, 2015
The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to evaluate.
Waite, Timothy W, Woods, D.C., Woods, David C, Waite, T.W.   +3 more
core   +1 more source

Poisson Autoregression [PDF]

This paper considers geometric ergodicity and likelihood based inference for linear and nonlinear Poisson autoregressions. In the linear case the conditional mean is linked linearly to its past values as well as the observed values of the Poisson process.
Dag Tjøstheim, Anders Rahbek, Konstantinos Fokianos   +2 more
core  

MODEL REGRESI GENERALIZED POISSON UNTUK MENGATASI OVERDISPERSI PADA MODEL REGRESI POISSON [PDF]

, 2012
Analisis regresi Poisson digunakan pada data yang variabel responnya merupakan variabel acak diskrit dan berdistribusi Poisson. Regresi Poisson memiliki asumsi nilai rata-rata dan varians dari variabel respon sama.
Dewi Nur Pratiwi, -
core   +2 more sources

Promotion time cure model with generalized Poisson-Inverse Gaussian Distribution

Journal of Biostatistics and Epidemiology, 2016
Background & Aim: In the survival data with Long-term survivors the event has not occurred for all the patients despite long-term follow-up, so the survival time for a certain percent is censored at the  end  of the  study.
Mitra Rahimzadeh, Behrooz Kavehie
doaj  

A Generalized Linear Model and Machine Learning Approach for Predicting the Frequency and Severity of Cargo Insurance in Thailand’s Border Trade Context

Risks
The study compares model approaches in predictive modeling for claim frequency and severity within the cross-border cargo insurance domain. The aim is to identify the optimal model approach between generalized linear models (GLMs) and advanced machine ...
Praiya Panjee, Sataporn Amornsawadwatana
doaj   +1 more source

Leaf count overdispersion in coffee seedlings

Ciência Rural, 2019
: Coffee crops play an important role in Brazilian agriculture, with a high level of social and economic participation resulting from the jobs created in the supply chain and from the income obtained by producers and the revenue generated for the ...
Edilson Marcelino Silva, Thais Destefani Ribeiro Furtado, Jaqueline Gonçalves Fernandes, Marcelo Ângelo Cirillo, Joel Augusto Muniz   +4 more
doaj   +1 more source

Polynomial Poisson algebras: Gel'fand-Kirillov problem and Poisson spectra [PDF]

, 2014
We study the fields of fractions and the Poisson spectra of polynomial Poisson algebras. First we investigate a Poisson birational equivalence problem for polynomial Poisson algebras over a field of arbitrary characteristic.
Lecoutre, César
core  

Robustness of zero-augmented models over generalized linear models in analysing fertility data in Nigeria

BMC Research Notes, 2019
Objective Fertility is a count data usually rightly skewed and exhibiting large number of zeros than the distributional assumption of the generalized linear models (GLMs).
Yusuf Olushola Kareem, Imran O. Morhason-Bello, Ayo Stephen Adebowale, Joshua Odunayo Akinyemi, Oyindamola Bidemi Yusuf   +4 more
doaj   +1 more source

Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population

Genetics and Molecular Biology, 2011
Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number
Fabyano Fonseca Silva, Karen P. Tunin, Guilherme J.M. Rosa, Marcos V.B. da Silva, Ana Luisa Souza Azevedo, Rui da Silva Verneque, Marco Antonio Machado, Irineu Umberto Packer   +7 more
doaj  

Mean and Variance Modeling of Under- and Overdispersed Count Data

Journal of Statistical Software, 2016
This article describes the R package CountsEPPM and its use in determining maximum likelihood estimates of the parameters of extended Poisson process models.
David M. Smith, Malcolm J. Faddy
doaj   +1 more source