Results 31 to 40 of about 14,618,835 (284)

The Spatial patterns of liver cancer in Libya: Standardized Morbidity Ratio and Poisson- Gamma Model, Based Analysis of Cancer Registry Data, 2020

مجلة جامعة الزيتونة, 2022
The spatial statistical models or Bayesian methods have been used widely to analyze and study the patterns of geographical distributions for a rare disease or  small geographical area. Cancer is the ever-increasing health problem and most common cause of
Maryam Alramah
doaj  

Dynamic Pricing Models for Automobile Insurance [PDF]

Financial Markets, Institutions and Risks
The accurate pricing of automobile insurance remains a critical challenge, particularly in markets where traditional models fail to capture risk heterogeneity.
Lynda Ait Bachir, Oumelkheir Elbaroud, Fatma Bouderra   +2 more
doaj   +1 more source

The Modelling of a Cure Fraction in Bivariate Time-to-Event Data

Austrian Journal of Statistics, 2016
Three correlated frailty models are used to analyze bivariate timeto- event data by assuming gamma, log-normal and compound Poisson distributed frailty. All approaches allow to deal with right censored lifetime data and account for heterogeneity as well ...
Andreas Wienke, Isabella Locatelli, Anatoli I. Yashin   +2 more
doaj   +1 more source

The time-dependent Poisson-gamma model in practice: Recruitment forecasting in HIV trials.

Contemporary Clinical Trials
Despite a growing body of literature in the area of recruitment modeling for multicenter studies, in practice, statistical models to predict enrollments are rarely used and when they are, they often rely on unrealistic assumptions.
Armando Turchetta, Erica E. M. Moodie, David A. Stephens, Nicolas Savy, Z. Moodie   +4 more
semanticscholar   +1 more source

On Gamma-Gompertz-Makeham Assurances and Life Annuities

Austrian Journal of Statistics
We focus on the gamma-Gompertz-Makeham model, and derive useful structural properties for this mortality model. We provide the basic properties like moments, remaining life expectancy, single life annuity, among many others, in closed form, and so it ...
Fredy Castellares, Silvio Patricio, Artur Lemonte   +2 more
doaj   +1 more source

Some results on Bayes estimation under Linex loss function [PDF]

Journal of Hyperstructures
In this paper, we introduced straightforward formulas for the Bayes risk linked to the Linex loss function, which we then applied to estimate parameters of the normal, Poisson, and fractional Weibull distributions.We aimed to investigate the development ...
Masoud Ganji, Fatemeh Gharari
doaj   +1 more source

Empirical E-Bayesian estimation of hierarchical poisson and gamma model using scaled squared error loss function

Alexandria Engineering Journal, 2023
The hierarchical models have not only a major concern with developing computational schemes but also assist in inferring the multi-parameter problems.
Azeem Iqbal, Muhammad Yousaf Shad, Mansour F. Yassen   +2 more
doaj   +1 more source

Leptospirosis disease mapping with standardized morbidity ratio and Poisson-Gamma model: An analysis of Leptospirosis disease in Kelantan, Malaysia

, 2017
Leptospirosis is a disease caused by the infection of pathogenic species from the genus of Leptospira. Human can be infected by the leptospirosis from direct or indirect exposure to the urine of infected animals.
A. Awang, N. Samat
semanticscholar   +1 more source

Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities [PDF]

, 2009
Estimating the parameters of multivariate mixed Poisson models is an important problem in image processing applications, especially for active imaging or astronomy.
Jean-Yves Tourneret, Florent Chatelain, Sophie Lambert-Lacroix, Chatelain, Florent, Lambert-Lacroix, Sophie, Tourneret, Jean-Yves   +5 more
core   +1 more source

PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF

Media Statistika, 2011
Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
doaj   +1 more source