نتایج جستجو برای: bivariate negative binomial regression model

تعداد نتایج: 2777173  

In this paper, we introduce a new class of bivariate distributions by compounding the bivariate generalized exponential and power-series distributions. This new class contains the bivariate generalized exponential-Poisson, bivariate generalized exponential-logarithmic, bivariate generalized exponential-binomial and bivariate generalized exponential-negative binomial distributions as specia...

Journal: :Journal of Risk and Financial Management 2018

 Background: Modeling is one of the most important ways for explanation of relationship between dependent and independent response. Since data, related to number of blood donations are discrete, to explain them it is better to use discrete variable distribution like Poison or Negative binomial. This research tries to analyze numerical methods by using neural network approach and compare ...

Journal: :journal of research in health sciences 0
maryam jalali ali nikfarjam ali akbar haghdoost nadere memaryan termeh tarjoman mohammad reza baneshi

background: in the case of sensitive questions such as number of alcoholics known, majority of respondents might give an answer of zero. poisson regression model (p) is the standard tool to analyze count data. however, p provides poor fit in the case of zero inflated counts, when over-dispersion exists. therefore, the questions to be addressed are to compare performance of alternative count reg...

Journal: :International Journal of Statistics and Probability 2022

A similarity and a difference between bivariate negative binomial distribution geometric is presented. The of the corresponding characteristic function are

Journal: :gastroenterology and hepatology from bed to bench 0
asma pourhoseingholi alireza akbarzadeh baghban farid zayeri seyed moayed alavian mohsen vahedi

aim : the aim of this study was to compare alternatives methods for analysis of zero inflated count data and compare them with simple count models that are used by researchers frequently for such zero inflated data. background : analysis of viral load and risk factors could predict likelihood of achieving sustain virological response (svr). this information is useful to protect a person from ac...

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