PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON
Infant mortality is an experienced child death before the age of one year. Regression analysis is a statistical analysis that aims to model the relationship between response variables (Y) with predictor variables (X). If the Poisson distributed response variables (Y), the regression model used was P...
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| Format: | Article |
| Language: | English |
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Universitas Pattimura
2012-12-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/208 |
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| author | Salmon N. Aulele |
| author_facet | Salmon N. Aulele |
| author_sort | Salmon N. Aulele |
| collection | DOAJ |
| description | Infant mortality is an experienced child death before the age of one year. Regression analysis is a statistical analysis that aims to model the relationship between response
variables (Y) with predictor variables (X). If the Poisson distributed response variables (Y), the regression model used was Poisson regression. The purpose of this research is to get a
Poisson regression model according to the significant factors that influence the infant mortality. The results shows that the significant factors are influence the infant mortality as
the presentation of non medical childbirth (X1) and quantity of medical facility (X7). The case studies are infant mortality in Provinsi Maluku in 2010. |
| format | Article |
| id | doaj-art-28b790a9111e47f0b094db48a8e5a1de |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2012-12-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-28b790a9111e47f0b094db48a8e5a1de2025-08-20T03:36:13ZengUniversitas PattimuraBarekeng1978-72272615-30172012-12-0162232710.30598/barekengvol6iss2pp23-27208PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSONSalmon N. Aulele0Jurusan Matematika FMIPA Universitas PattimuraInfant mortality is an experienced child death before the age of one year. Regression analysis is a statistical analysis that aims to model the relationship between response variables (Y) with predictor variables (X). If the Poisson distributed response variables (Y), the regression model used was Poisson regression. The purpose of this research is to get a Poisson regression model according to the significant factors that influence the infant mortality. The results shows that the significant factors are influence the infant mortality as the presentation of non medical childbirth (X1) and quantity of medical facility (X7). The case studies are infant mortality in Provinsi Maluku in 2010.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/208infant mortality, poisson distributed, poisson regression model, regression analysis. |
| spellingShingle | Salmon N. Aulele PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON Barekeng infant mortality, poisson distributed, poisson regression model, regression analysis. |
| title | PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON |
| title_full | PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON |
| title_fullStr | PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON |
| title_full_unstemmed | PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON |
| title_short | PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON |
| title_sort | pemodelan jumlah kematian bayi di provinsi maluku tahun 2010 dengan menggunakan regresi poisson |
| topic | infant mortality, poisson distributed, poisson regression model, regression analysis. |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/208 |
| work_keys_str_mv | AT salmonnaulele pemodelanjumlahkematianbayidiprovinsimalukutahun2010denganmenggunakanregresipoisson |