登革出血热模型多变量非参数回归的样条和核混合估计量

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7790

A. Dani, Meirinda Fauziyah, M. N. Hayati, Sri Wahyuningsih, Surya Prangga

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引用次数: 1

摘要

:本文讨论在卫生部门实施的统计创新。正在进行关于登革出血热(DHF)治疗和预防的研究，重点是导致登革出血热增加的因素。创建一个非参数回归模型与混合估计，截断样条

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Spline and kernel mixed estimators in multivariable nonparametric regression for dengue hemorrhagic fever model

: This article discusses statistical innovations implemented in the health sector. The research is being conducted on the treatment and prevention of Dengue Hemorrhagic Fever (DHF), focusing on the factors contributing to the increase in DHF. Create a nonparametric regression model with a mixed estimator, truncated spline

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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.