A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage. The performance of this estimation is often affected by the sa...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2023-09-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9018 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849239505639309312 |
|---|---|
| author | Devi Azarina Manzilir Rohmah Ani Budi Astuti Achmad Efendi |
| author_facet | Devi Azarina Manzilir Rohmah Ani Budi Astuti Achmad Efendi |
| author_sort | Devi Azarina Manzilir Rohmah |
| collection | DOAJ |
| description | Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage. The performance of this estimation is often affected by the sample size and data characteristics, and to deal with this problem, the Bayesian method can be employed as an estimation. This research aims to use Regression Logistic with Bayesian estimation to figure out the determinant of recent in-migrants status in Special Region of Yogyakarta 2021, where Yogyakarta’s recent in-migrants in 2021 took the first position in Indonesia, whereas this city has the lowest regional minimum wage in Indonesia. The Bayesian method was used in this study to obtain a better estimate than previous studies using maximum likelihood estimation, because Bayesian is unbiased for unbalanced cases which are often found in logistic regression. This research results show that particular variables such as resident age, resident marital status, resident main activities, resident latest education, and resident homeownership have significant effect on resident migrating to Special Region of Yogyakarta, Indonesia |
| format | Article |
| id | doaj-art-5d8b3acd8e56436984aba94d287cd3bb |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-5d8b3acd8e56436984aba94d287cd3bb2025-08-20T04:00:55ZengUniversitas PattimuraBarekeng1978-72272615-30172023-09-011731725173810.30598/barekengvol17iss3pp1725-17389018A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSIONDevi Azarina Manzilir Rohmah0Ani Budi Astuti1Achmad Efendi2Department of Statistics, Faculty of Mathematics and Science, Brawijaya University, IndonesiaDepartment of Statistics, Faculty of Mathematics and Science, Brawijaya University, IndonesiaDepartment of Statistics, Faculty of Mathematics and Science, Brawijaya University, IndonesiaBinary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage. The performance of this estimation is often affected by the sample size and data characteristics, and to deal with this problem, the Bayesian method can be employed as an estimation. This research aims to use Regression Logistic with Bayesian estimation to figure out the determinant of recent in-migrants status in Special Region of Yogyakarta 2021, where Yogyakarta’s recent in-migrants in 2021 took the first position in Indonesia, whereas this city has the lowest regional minimum wage in Indonesia. The Bayesian method was used in this study to obtain a better estimate than previous studies using maximum likelihood estimation, because Bayesian is unbiased for unbalanced cases which are often found in logistic regression. This research results show that particular variables such as resident age, resident marital status, resident main activities, resident latest education, and resident homeownership have significant effect on resident migrating to Special Region of Yogyakarta, Indonesiahttps://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9018bayesian methodbinary logistic regressionmigration |
| spellingShingle | Devi Azarina Manzilir Rohmah Ani Budi Astuti Achmad Efendi A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION Barekeng bayesian method binary logistic regression migration |
| title | A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION |
| title_full | A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION |
| title_fullStr | A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION |
| title_full_unstemmed | A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION |
| title_short | A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION |
| title_sort | statistical analytics of migration using binary bayesian logistic regression |
| topic | bayesian method binary logistic regression migration |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9018 |
| work_keys_str_mv | AT deviazarinamanzilirrohmah astatisticalanalyticsofmigrationusingbinarybayesianlogisticregression AT anibudiastuti astatisticalanalyticsofmigrationusingbinarybayesianlogisticregression AT achmadefendi astatisticalanalyticsofmigrationusingbinarybayesianlogisticregression AT deviazarinamanzilirrohmah statisticalanalyticsofmigrationusingbinarybayesianlogisticregression AT anibudiastuti statisticalanalyticsofmigrationusingbinarybayesianlogisticregression AT achmadefendi statisticalanalyticsofmigrationusingbinarybayesianlogisticregression |