Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Dietary diversity is considered crucial for household welfare and also for carrying out other development activities. The emerging interest in household dietary diversity against dietary quantity presents an opportunity to estimate household food security. Based on secondary data, probit regression model was used to estimate the determinants of household dietary diversity in Bangladesh. The result suggests that household size, literacy of household head, total amount of land, married household head, total amount of remittance received and income of household head were major determinants in attainment of high dietary diversity. Government policies and intervention programs targeting the above variables may improve household dietary diversity which in turn may improve household food security.
Fahima Sumaiya Laskar. 2019. \u201cDeterminants of Household Dietary Diversity in Bangladesh\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 19 (GJHSS Volume 19 Issue E9): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Bangladesh
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Fahima Sumaiya Laskar, Muntaha Rakib (PhD/Dr. count: 0)
View Count (all-time): 159
Total Views (Real + Logic): 2634
Total Downloads (simulated): 1200
Publish Date: 2019 12, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Dietary diversity is considered crucial for household welfare and also for carrying out other development activities. The emerging interest in household dietary diversity against dietary quantity presents an opportunity to estimate household food security. Based on secondary data, probit regression model was used to estimate the determinants of household dietary diversity in Bangladesh. The result suggests that household size, literacy of household head, total amount of land, married household head, total amount of remittance received and income of household head were major determinants in attainment of high dietary diversity. Government policies and intervention programs targeting the above variables may improve household dietary diversity which in turn may improve household food security.
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