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  • Generalized Poisson Regression Type-II at Jambi City Health Office

    One statistical analysis is regression analysis. One regression that has the assumption of poisson distribution is poisson regression which has the assumption of poisson distribution. Neonatal deaths are still very...
    Corry Sormin Indonesia , Gusmanely Z Indonesia , Nurhidayah Nurhidayah Indonesia
    Pages: 54-58 2020-04-30
    10.24036/eksakta/vol21-iss1/222
    521 525
  • Integrating Time-Dependent and Time-Independent Earthquake Recurrence Models for Fault-Based Seismic Hazard Mapping in Indonesia

    Indonesia's location at the convergence of three major tectonic plates causes extreme seismic activity, necessitating precise hazard assessments. This research integrates time-dependent (Brownian) and...
    RAFIF RAHMAT RAMADHAN Indonesia , Yudha Styawan Indonesia , Rizki Wulandari Indonesia , Purwaditya Nugraha Indonesia , Meta Nisrina Syafitri Indonesia
    2026-08-30
    10.24036/eksakta/vol27-iss04/742
    0 0
  • Factors Affecting the Number of Infant Morality Cases in West Java for the 2019-2020 Period using Generalized Poisson Regression (GPR)

    The number of infant mortality cases is data in the form of counts which is modeled by Poisson regression. There is an assumption that needs to be met, namely equidispersion. Equidispersion is a condition in which...
    Kartika Dewi Indonesia , Nurul Gusriani Indonesia , Kankan Parmikanti Indonesia
    Pages: 259-270 2023-06-30
    10.24036/eksakta/vol24-iss02/363
    313 277
  • Negative Binomial Regression in Underdispersion(Case Study: Neonatal Mortality in Jambi City)

    Neonatalis is birth before 28 days of a baby. Factors that are considered to affect neonatal mortality include the number of visits in the 1 st and 3 rd trimester, the number of pregnant women receiving Tetanus...
    Corry Sormin Indonesia , Gusmanely Z Indonesia
    Pages: 12-17 2022-03-30
    10.24036/eksakta/vol23-iss01/288
    427 388
  • Infant Mortality Case: An Application of Negative Binomial Regression in order to Overcome Overdispersion in Poisson Regression

    Infant mortality is an indicator to determine the degree of public health. Infant mortality is death that occurs in the period from birth to before the age of one. The high rate of infant mortality indicates that the...
    Fadhilah Fitri Indonesia , Fitri Mudia Sari Indonesia , Nurul Fiskia Gamayanti Indonesia , Iut Tri Utami Indonesia
    Pages: 200-210 2021-09-30
    10.24036/eksakta/vol22-iss3/272
    1324 428
  • Multilevel Modeling on Underdispersion Data

    Binomial negative regression is able to handle poisson regression problem with underdispersion assumption. When the data has hierarchy and level that need to be calculated, regression is no longer appropriate to...
    Corry Sormin Indonesia , Niken Rarasati Indonesia , Gusmanely Z Indonesia , Hamidreza Kashefi Iran, Islamic Republic of
    Pages: 409-415 2023-09-30
    10.24036/eksakta/vol23-iss03/297
    199 196
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