PREDICTING GRAY WOLF LANDSCAPE RECOLONIZATION: LOGISTIC REGRESSION MODELS VS. NEW FIELD DATA

Publisher： John Wiley & Sons Inc

E-ISSN： 1939-5582|9|1|37-44

ISSN： 1051-0761

Source： Ecological Applications, Vol.9, Iss.1, 1999-02, pp. : 37-44

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models

By Zhu You   Xie Chi   Sun Bo   Wang Gang-Jin   Yan Xin-Guo  

Sustainability, Vol. 8, Iss. 5, 2016-05 ,pp. : 433-433

MDPI

Access to resources Recommend Favorite

A New Means of Presenting the Results of Logistic Regression

By  

The Bulletin of the Ecological Society of America, Vol. 85, Iss. 3, 2004-07 ,pp. : 100-102

John Wiley & Sons Inc

Access to resources Recommend Favorite

Predicting fire occurrence patterns with logistic regression in Heilongjiang Province, China

By Chang Yu   Zhu Zhiliang   Bu Rencang   Chen Hongwei   Feng Yuting   Li Yuehui   Hu Yuanman   Wang Zhicheng  

Landscape Ecology, Vol. 28, Iss. 10, 2013-12 ,pp. : 1989-2004

Springer Publishing Company

Access to resources Recommend Favorite

Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS

By Park Soyoung   Hamm Se-Yeong   Jeon Hang-Tak   Kim Jinsoo  

Sustainability, Vol. 9, Iss. 7, 2017-07 ,pp. : 1157-1157

MDPI

Access to resources Recommend Favorite

Regression models for exceedance data via the full likelihood

By Nascimento Fernando  

Environmental and Ecological Statistics, Vol. 18, Iss. 3, 2011-09 ,pp. : 495-512

Springer Publishing Company

Access to resources Recommend Favorite