Results 41 to 50 of about 14,479,772 (204)
AIP AdvancesCount data often exhibit dispersion patterns that the standard Poisson regression model struggles to handle, particularly in cases of overdispersion or underdispersion. The generalized Poisson regression model (GPRM) provides a more flexible alternative,
Ali T. Hammad +3 more
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A Flexible Mixed Model for Clustered Count Data
Stats, 2022 Clustered count data are commonly modeled using Poisson regression with random effects to account for the correlation induced by clustering. The Poisson mixed model allows for overdispersion via the nature of the within-cluster correlation, however ...
Darcy Steeg Morris, Kimberly F. Sellers
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POISSON REGRESSION MODELING GENERALIZED IN MATERNAL MORTALITY CASES IN ACEH TAMIANG REGENCY
Barekeng, 2023 Maternal Mortality Rate (MMR) is the number of maternal deaths due to the process of pregnancy, childbirth, and postpartum which is used as an indicator of women's health degrees.
Riska Novita Sari +2 more
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Efficient estimation of COM–Poisson regression and a generalized additive model [PDF]
Computational Statistics & Data Analysis, 2018 The Conway-Maxwell-Poisson (CMP) or COM-Poison regression is a popular model for count data due to its ability to capture both under dispersion and over dispersion. However, CMP regression is limited when dealing with complex nonlinear relationships. With today's wide availability of count data, especially due to the growing collection of data on human
Suneel Chatla, Galit Shmueli
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Count Data Models With Variance Of Unknown Form: An Application To A Hedonic Model Of Worker Absenteeism [PDF]
, 1997 We examine an econometric model of counts of worker absences due to illness in a sluggishly adjusting hedonic labor market. We compare three estimators that parameterize the conditional variance--least squares, Poisson, and negative binomial pseudo ...
Delgado, Miguel A. +6 more
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Generalized self-consistency: Multinomial logit model and Poisson likelihood [PDF]
Journal of Statistical Planning and Inference, 2008 A generalized self-consistency approach to maximum likelihood estimation (MLE) and model building was developed in (Tsodikov, 2003) and applied to a survival analysis problem. We extend the framework to obtain second-order results such as information matrix and properties of the variance.
Tsodikov, Alex, Chefo, Solomon
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Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2010 BACKGROUND AND OBJECTIVE: Different statistical methods can be used to analyze fertility data. In cases that dependent variable is count, Poisson model is applied.
N Zare, +4 more
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A generalized right truncated bivariate Poisson regression model with applications to health data. [PDF]
PLoS ONE, 2017 A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models
M Ataharul Islam, Rafiqul I Chowdhury
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مجله اپیدمیولوژی ایران, 2010 Background & objectives: statistical modeling explicates the observed changes in data by means of mathematics equations. In cases that dependent variable is count, Poisson model is applied.
N Zare +3 more
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PENAKSIRAN PENJUALAN PRODUK BERDASARKAN PENDEKATAN MODEL REGRESI NEGATIF BINOMIAL
Prima: Jurnal Pendidikan Matematika, 2019 Abstrak Penelitian bertujuan untuk membandingkan hasil penaksiran parameter model regresi binomial negative dengan model Poisson untuk underreported counts pada penelitian sebelumnya.
Reny Rian Marliana
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