Results 321 to 330 of about 23,446,041 (341)

Estimation of the final size of the coronavirus epidemic by the logistic model

medRxiv, 2020
In the note, the logistic growth regression model is used for the estimation of the final size and its peak time of the coronavirus epidemic. Based on available data estimation the final size will be about 90 000 cases and the peak time was on 10 Feb ...
M. Batista
semanticscholar   +1 more source

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

Geocarto International, 2019
In this study, we introduced novel hybrid of evidence believe function (EBF) with logistic regression (EBF-LR) and logistic model tree (EBF-LMT) for landslide susceptibility modelling.
Wei Chen   +12 more
semanticscholar   +1 more source

The symbiosis of scientific and technological innovation efficiency and economic efficiency in China — an analysis based on data envelopment analysis and logistic model

Technology Analysis & Strategic Management, 2018
In this study, data envelopment analysis (DEA) is used to estimate the scientific and technological innovation efficiency and economic efficiency of China’s provinces and cities from 2000 to 2016.
Song Wang   +4 more
semanticscholar   +1 more source

Logistic Regression Model Optimization and Case Analysis

International Conference on Computer Science and Network Technology, 2019
Traditional logistic regression analysis is widely used in the binary classification problem, but it has many iterations and it takes a long time to train large amounts of data, which is not applicable.
Xiaonan Zou   +3 more
semanticscholar   +1 more source

Boundedness in the higher-dimensional Keller-Segel model with signal-dependent motility and logistic growth

Journal of Mathematics and Physics, 2019
This paper concerns a higher-dimensional Keller-Segel model with signal-dependent motility and logistic growth. It is shown that the strong logistic damping can prevent blow-up in the higher dimensions.This paper concerns a higher-dimensional Keller ...
Jianping Wang, Mingxin Wang
semanticscholar   +1 more source

[Overview of logistic regression model analysis and application].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine], 2019
Logistic regression is a kind of multiple regression method to analyze the relationship between a binary outcome or categorical outcome and multiple influencing factors, including multiple logistic regression, conditional logistic regression, polytomous ...
Quankai Wang   +6 more
semanticscholar   +1 more source

Improvement of fire danger modelling with geographically weighted logistic model

, 2014
Global models dominate historical documents on fire danger modelling. However, local variations may exist in the relationships between fire presence and fire-influencing factors.
Haijun Zhang   +2 more
semanticscholar   +1 more source

Applied Logistic Regression Analysis

, 1996
Series Editor's Introduction Author's Introduction to the Second Edition 1. Linear Regression and Logistic Regression Model 2. Summary Statistics for Evaluating the Logistic Regression Model 3. Interpreting the Logistic Regression Coefficients 4.
S. Menard
semanticscholar   +1 more source

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