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Mathematical Analysis of PSF (Proportion Spent on Food) in Specific Communities

机译:特定社区中PSF(食品比例)的数学分析

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This paper is mainly based on establishing a relation between PSF (Proportion Spent on Food) and factors affecting poverty in India. The work is mainly based on the doctoral thesis of the first author (Rao 1995). Seminal work was done and reported in various conferences/Journals in India (Rao 1998). The collaboration between the Indian and American faculty lead to this research paper. The data used in the analysis is that of fisherman community in the eastern part of India. PSF has been shown to be a critical parameter. It was reported (Rao 1998) that based on the grouped per capita monthly expenditure spent on food (PSF), the pattern of change in PSF lies in the range of 79.1 and 83.8. The present research study is based on a detailed mathematical analysis of the poverty data as related to fisherman. It establishes a linear and non-linear equation (2nd order polynomial) between%of PSF and%of households and per capita monthly expenditure based on principles of regression analysis (Chapra and Canale 2010). Using these equations one can easily determine the optimal value of PSF which is indirectly connected to poverty level. The validity of the fitted equation is studied with respect to correlation coefficient (r) and standard error of estimate (s_(y/x)). These results will be very useful to a wide cross section of the community.
机译:本文主要是基于建立PSF(食品比例)与影响印度贫困的因素之间的关系。这项工作主要基于第一作者的博士论文(RAO 1995)。在印度的各种会议/期刊上进行了开创性的工作并报告(Rao 1998)。印度和美国教师之间的合作导致了这份研究论文。分析中使用的数据是印度东部的渔民社区。 PSF已被证明是关键参数。据报道(Rao 1998),根据食品(PSF)的人均每月支出分组,PSF的变化模式在79.1和83.8的范围内。本研究研究基于与渔民相关的贫困数据的详细数学分析。它在PSF%之间建立了线性和非线性方程(第二阶多项式)基于回归分析原则的PSF%和人均每月支出(Chapra和Canale 2010)。使用这些等式可以容易地确定PSF的最佳值,这是间接地连接到贫困水平的PSF。研究了拟合方程的有效性,研究了相关系数(R)和估计的标准误差(S_(y / x))。这些结果对于社区的广泛横截面非常有用。

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