Results 31 to 40 of about 22,911 (304)

PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON

E-Jurnal Matematika, 2013
Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance.
PUTU SUSAN PRADAWATI, KOMANG GDE SUKARSA, I GUSTI AYU MADE SRINADI   +2 more
doaj   +1 more source

Testing for zero-modification in count regression models [PDF]

, 2006
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
core   +1 more source

Quantifying overdispersion effects in count regression data [PDF]

, 2002
The Poisson regression model is often used as a first model for count data with covariates. Since this model is a GLM with canonical link, regression parameters can be easily fitted using standard software.
Sikora, I., Czado, Claudia
core   +1 more source

Empirically observed overdispersion of TE load.

, 2022
Empirically observed overdispersion of TE load.
Joshua R. Puzey (7877342), Ronald D. Smith (7877330), Gregory D. Conradi Smith (9732109)   +2 more
core   +1 more source

PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON

E-Jurnal Matematika, 2013
Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data.
DESAK PUTU PRAMI MEITRIANI, KOMANG GDE SUKARSA, I PUTU EKA NILA KENCANA   +2 more
doaj   +1 more source

Understanding the impact of correlation within pair‐bonds on Cormack–Jolly–Seber models

Ecology and Evolution, 2021
The Cormack–Jolly–Seber (CJS) model and its extensions have been widely applied to the study of animal survival rates in open populations. The model assumes that individuals within the population of interest have independent fates. It is, however, highly
Alexandru M. Draghici, Wendell O. Challenger, Simon J. Bonner   +2 more
doaj   +1 more source

The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2020
Mixed Poisson distributions have been applied for overdispersed count data analysis. In this paper, an alternative mixed Poisson distribution is proposed.
Yupapin Atikankul, Ampai Thongteeraparp, Winai Bodhisuwan   +2 more
doaj   +1 more source

Modelling Heteroskedasticity, Overdispersion and the Impacts of Climate Change for Long-Term Hay Yield Data

, 2022
Non-constant residuals, also known as heteroskedastic errors, are a common challenge in statistical modelling. One common method for coping with heteroskedastic errors for non-negative data is through the use of a Gamma likelihood function, often with ...
Semenov, M. A., Ellis, R. H., Mead, A., Addy, J., Macdonald, A. J.   +4 more
core  

A quasi-likelihood approach for ordered categorical data with overdispersion

, 1996
Quasi-likelihood (QL) methods are often used to account for overdispersion in categorical data. This paper proposes a new way of constructing a QL function that stems from the conditional mean-variance relationship.
Wang, Y-G.
core   +1 more source

Overdispersion Functions

, 2014
Functions required to run the overdispersion simulation scripts - "Extra-Poisson Noise", "Negative Binomial" and "Zero-Inflated Poisson". 
Xavier Harrison (598795)
core   +1 more source