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Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability
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| Published in: | DSE |
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| Format: | Online Article RSS Article |
| Published: |
2025
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| _version_ | 1864030189542965250 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | DSE |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:3856 |
| institution | FRELIP |
| journal_source_facet | DSE |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability Big data and Data science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Big data and Data science Computer Science & IT Engineering & Technology Big data and Data science Computer Science & IT Engineering & Technology |
| subject_facet | Big data and Data science Computer Science & IT Engineering & Technology |
| title | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability |
| title_auth | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability |
| title_full | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability |
| title_fullStr | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability |
| title_full_unstemmed | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability |
| title_short | Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability |
| title_sort | evaluation of estimation methods for simultaneous equations models across varying levels of data variability |
| topic | Big data and Data science Computer Science & IT Engineering & Technology |
| url | https://link.springer.com/article/10.1007/s41019-025-00318-6 |