基于样条非参数回归方法的南苏拉威西省贫困水平建模

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7946

Wahidah Alwi, Ermawati, Try Azisah Nurman, Hernawati, Risnawati Ibnas

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引用次数: 0

摘要

本研究采用样条非参数回归方法对南苏拉威西省的贫困水平进行建模。由于南苏拉威西的贫困水平与影响因素之间的关系没有形成特定的模式，因此研究人员采用样条方法进行非参数回归建模。样条模型对于在一定的子区间内具有变化模式的数据的建模是非常好的。本研究的目的是调查对贫困水平影响最大的因素，并通过非参数回归对南苏拉威西的贫困水平进行建模。本研究的范围是使用广义交叉验证(GCV)选择最佳结点;在这个例子中，它使用了1,2

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Modeling of poverty level in South Sulawesi Province through spline nonparametric regression approach

: This study discussed modeling poverty levels in South Sulawesi through Spline Nonparametric Regression Approach. Since no specific pattern was formed from the relation between the poverty level in South Sulawesi and the factors that influence it, the researchers used nonparametric regression modelling with Spline approach. The Spline model is very good in modelling data that has changeable patterns at certain subintervals. The aimed of this study were to investigate the factors that have the most influence on the poverty level and modelling the poverty level in South Sulawesi through nonparametric regression. The scope of this study was the use of Generalized Cross-Validation (GCV) in selecting optimal knot points; in this case, it used 1, 2

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来源期刊

Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.10

自引率

15.40%

发文量

期刊介绍： Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.