Bootstrap quantification of estimation uncertainties in network degree distributions
We propose a new method of nonparametric bootstrap to quantify estimation uncertainties in
functions of network degree distribution in large ultra sparse networks. Both network degree …
functions of network degree distribution in large ultra sparse networks. Both network degree …
[PDF][PDF] Using Multinomial Logistic Regression to Identify Factors Affecting Platelet
SM AJEEL, JALI HAJI, BH JAHWAR - Journal of Duhok University, 2023 - researchgate.net
The objective of this work is to find an application for the Multinomial Logistic Regression
(MLR) model, which is one of the essential methods for categorical data analysis. The focus …
(MLR) model, which is one of the essential methods for categorical data analysis. The focus …
UTILIZING MULTINOMIAL LOGISTIC REGRESSION FOR DETERMINING THE FACTORS INFLUENCING BLOOD PRESSURE
The aim of this study is to investigate the practical application of the Multinomial (many
explanatory variables and many categories) Logistic Regression (MLR) model, which is a …
explanatory variables and many categories) Logistic Regression (MLR) model, which is a …
[引用][C] Comparative Study about Efron's Bootstrap Method and Smoothed Efron's Bootstrap Method
BA Almalki - 2020 - KING ABDULAZIZ UNIVERSITY …