Hubungan Faktor Kolestrol Terhadap Gula Darah Diabetes dengan Spline Kubik Terbobot

Autor:	Zhazha Alifkhamulki Ramdhani, Raupong Raupong, Anna Islamiyati
Rok vydání:	2020
Předmět:	Cholesterol Nonparametric statistics Blood sugar medicine.disease Regression Cross-validation chemistry.chemical_compound chemistry Total cholesterol Diabetes mellitus Statistics medicine lipids (amino acids peptides and proteins) Mathematics
Zdroj:	ESTIMASI: Journal of Statistics and Its Application. 1:32
ISSN:	2721-379X 2721-3803
DOI:	10.20956/ejsa.v1i1.9252
Popis:	Diabetes Mellitus (DM) is often recognized through an increase in a person's blood sugar level. Factors that can affect the increase in blood sugar levels of DM patients one of which is cholesterol. It usually contains the bookkeeping of several types of cholesterol, including LDL and total cholesterol. DM data are assumed to experience heterokedasticity so that in this study analyzed using regression of weighted cubic spline nonparametric. The estimation method used is weighted least square (WLS). This study aims to obtain a weighted cubic spline model on cholesterol based DM data. The selection of the best model can be seen based on the criteria for the value of generalized cross validation (GCV) minimum. Based on the analysis obtained weighted cubic spline models for cholesterol factors for blood sugar as follows
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::45b3ad77e48eb8df083215336dcf7d69 https://doi.org/10.20956/ejsa.v1i1.9252 Zobrazit plný text záznamu