Classification and regression trees: an introduction
Household food security (HFS) represents the guiding principle underlying many rural development projects. It plays an important role in the targeting of projects, the selection of appropriate interventions, and the monitoring and evaluation of projects. HFS is a multifaceted concept that does not n...
| Autores principales: | , |
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| Formato: | Training Material |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
1999
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/161421 |
| _version_ | 1855540714706829312 |
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| author | Yohannes, Yisehac Hoddinott, John F. |
| author_browse | Hoddinott, John F. Yohannes, Yisehac |
| author_facet | Yohannes, Yisehac Hoddinott, John F. |
| author_sort | Yohannes, Yisehac |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Household food security (HFS) represents the guiding principle underlying many rural development projects. It plays an important role in the targeting of projects, the selection of appropriate interventions, and the monitoring and evaluation of projects. HFS is a multifaceted concept that does not necessarily lend itself to measurement by single, discrete indicators. Further, such indicators should reflect the behavior and livelihood conditions of target populations—those that are most often, and more severely, affected by acute food insecurity (Borton and Shoham 1991). These include the rural poor, women-headed households, asset-poor pastoralists, the landless, recently resettled households, and households constrained by a high dependency ratio. |
| format | Training Material |
| id | CGSpace161421 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1999 |
| publishDateRange | 1999 |
| publishDateSort | 1999 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1614212025-02-19T14:02:28Z Classification and regression trees: an introduction Yohannes, Yisehac Hoddinott, John F. food security households indicators vulnerability cart classification and regression tree Household food security (HFS) represents the guiding principle underlying many rural development projects. It plays an important role in the targeting of projects, the selection of appropriate interventions, and the monitoring and evaluation of projects. HFS is a multifaceted concept that does not necessarily lend itself to measurement by single, discrete indicators. Further, such indicators should reflect the behavior and livelihood conditions of target populations—those that are most often, and more severely, affected by acute food insecurity (Borton and Shoham 1991). These include the rural poor, women-headed households, asset-poor pastoralists, the landless, recently resettled households, and households constrained by a high dependency ratio. 1999 2024-11-21T09:55:36Z 2024-11-21T09:55:36Z Training Material https://hdl.handle.net/10568/161421 en Open Access application/pdf International Food Policy Research Institute Yohannes, Yisehac; Hoddinott, John F. 1999. Classification and regression trees: an introduction. Technical Guide. 3. https://hdl.handle.net/10568/161421 |
| spellingShingle | food security households indicators vulnerability cart classification and regression tree Yohannes, Yisehac Hoddinott, John F. Classification and regression trees: an introduction |
| title | Classification and regression trees: an introduction |
| title_full | Classification and regression trees: an introduction |
| title_fullStr | Classification and regression trees: an introduction |
| title_full_unstemmed | Classification and regression trees: an introduction |
| title_short | Classification and regression trees: an introduction |
| title_sort | classification and regression trees an introduction |
| topic | food security households indicators vulnerability cart classification and regression tree |
| url | https://hdl.handle.net/10568/161421 |
| work_keys_str_mv | AT yohannesyisehac classificationandregressiontreesanintroduction AT hoddinottjohnf classificationandregressiontreesanintroduction |