利用截断样条估计的双响应非参数回归对萨玛林达AWS医院登革出血热病例进行建模

IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7888

Sifriyani, Maria Yasinta Diu, Zakiyah Mar'ah, Dewi Anggraini, S. Jalaluddin

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引用次数: 0

摘要

研究在卫生部门实施的统计领域的创新。本研究是基于样条截断法的双响应非参数回归模型的发展。本研究的目的是利用双响应样条截断的非参数回归模型来确定影响萨马林达AWS医院登革出血热病例的因素。本研究使用的数据是数据

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Modeling of dengue hemorrhagic fever cases in AWS Hospital Samarinda using bi-responses nonparametric regression with estimator spline truncated

: Research on innovations in the field of statistics implemented in the health sector. This research is the development of birespon nonparametric regression model with spline truncated approach. The purpose of this research is to model and determine the factors affecting the Dengue Hemorrhagic Fever Cases in AWS Hospital Samarinda using Bi-responses Nonparametric Regression with estimator Spline Truncated. The data used in this study were data

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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.