Application of Negative Binomial Regression Analysis to Overcome the Overdispersion of Poisson Regression Model for Malnutrition Cases in Indonesia
نویسندگان
چکیده
Indonesia is one of the developing countries that struggling to eradicate malnutrition problem. Malnutrition occurs over a long period time can have an impact on deaths sufferers and decrease human quality life. This study aims model case occurred in Provinces during 2015 get main factors cause Variables studied consist (Y), Vitamin A consumption (X1), Exclusive breastfeeding (X2), Immunization (X3), Water (X4), Healthcare center (X5), Poverty level (X6). Based Kolmogorov-Smirnov test, results data Province do not follow Poisson distribution because overdispersion. The presence overdispersion cases regression will inappropriateness inferences. An alternative accommodates this negative binomial model. By using model, are considered influencing provinces
منابع مشابه
Handling Overdispersion with Negative Binomial and Generalized Poisson Regression Models
In actuarial hteramre, researchers suggested various statistical procedures to estimate the parameters in claim count or frequency model. In particular, the Poisson regression model, which is also known as the Generahzed Linear Model (GLM) with Poisson error structure, has been x~adely used in the recent years. However, it is also recognized that the count or frequency data m insurance practice...
متن کاملComparison between Efficiency of Poisson Regression Model and Negative Binomial Regression in the Analysis of Factors Affecting Mortality from Cardiovascular Diseases in Yazd Province in 2017
Introduction: Despite the advances in cardiovascular diseases, death caused by these diseases is still considered as the leading cause of mortality. In this study, some of the effective factors on the deaths caused by cardiovascular diseases were investigated Methods: This cross-sectional analytical study investigated the efficacy of Poisson regression models and negative binomial regres...
متن کاملZero inflated Poisson and negative binomial regression models: application in education
Background: The number of failed courses and semesters in students are indicatorsof their performance. These amounts have zero inflated (ZI) distributions. Using ZI Poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters. This study aims at to investigate the important factors related to the educational performance of ...
متن کاملNegative binomial and mixed Poisson regression
A number of methods have been proposed for dealing with extra-Poisson variation when doing regression analysis of count data. This paper studies negative-binomial regression models and examines efficiency and robustness properties of inference procedures based on them. The methods are compared with quasilikelihood methods. RESUME Plusieurs mkthodes ont ktk propokes en vue de traiter le probltme...
متن کاملHurdle, Inflated Poisson and Inflated Negative Binomial Regression Models for Analysis of Count Data with Extra Zeros
In this paper, we propose Hurdle regression models for analysing count responses with extra zeros. A method of estimating maximum likelihood is used to estimate model parameters. The application of the proposed model is presented in insurance dataset. In this example, there are many numbers of claims equal to zero is considered that clarify the application of the model with a zero-inflat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Parameter
سال: 2022
ISSN: ['0216-261X', '2620-9519']
DOI: https://doi.org/10.22487/27765660.2022.v2.i2.15903