scholarly journals A Robustness Generalized Distance Function Approach for Multiresponse Robust Optimization

2017 ◽  
Vol 174 ◽  
pp. 748-755 ◽  
Author(s):  
Wang Jing ◽  
Li Yongfan
Keyword(s):  
Robust Optimization ◽  
Distance Function ◽  
Function Approach ◽  
Generalized Distance

scholarly journals A multivariate analysis of subline divergence in the shape of the mandible in C57BL/Gr mice

1973 ◽  
Vol 21 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Michael Festing
Keyword(s):  
Multivariate Analysis ◽  
Distance Function ◽  
Canonical Variate ◽  
Multivariate Techniques ◽  
Graphical Display ◽  
Classification Analysis ◽  
Variate Analysis ◽  
Pedigree Relationship ◽  
Highly Correlated ◽  
Generalized Distance

SUMMARYThe shape of the mandible in. nine sublines of C57BL/Gr, seven other strains of ‘C57 ancestry’ and four unrelated strains was studied by multivariate techniques. The generalized distance function was used to classify individuals in the groups which they most closely resembled. The degree of misclassification depended on the pedigree relationship between strains and sublines. The generalized distance between pairs of subline centeroids was also highly correlated (r = 0·60) with the number of generations between them. A canonical variate analysis was used to reduce the dimensionality so that a graphical display of the relationships between strains and sublines could be made. The results agreed closely with the classification analysis. It was concluded that the shape of the mandible could be used for subline identification though the accuracy of this technique depends on how closely the sublines are related.

Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

2019 ◽  
Vol 50 (2) ◽  
pp. 237-246 ◽  
Author(s):  
Robertson R.B. Khataza ◽  
Atakelty Hailu ◽  
Graeme J. Doole ◽  
Marit E. Kragt ◽  
Arega D. Alene
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Productive Efficiency ◽  
Function Approach ◽  
Farm Size ◽  
The Relationship

Analysis of Energy Efficiency in China with a Slack-Based Directional Distance Function Approach

2013 ◽  
Vol 291-294 ◽  
pp. 1241-1244 ◽  
Author(s):  
Rui Xiang Liu ◽  
Jing Luo
Keyword(s):  
Energy Efficiency ◽  
Environmental Regulation ◽  
Distance Function ◽  
Central Area ◽  
Average Energy ◽  
Directional Distance Function ◽  
Function Approach ◽  
Improve Energy Efficiency ◽  
Regional Energy ◽  
Energy Conversation

It is crucial to improve China’s energy efficiency in the context of energy conversation and environmental regulation. This paper approaches the measurement of Chinese regional energy efficiency based on slack-based directional distance function from a production theoretic perspective. The results show that there exists inequality among different regions in China and the east area have the best average energy efficiency for the period 2000-2009, followed by the central area. Based on these findings, this paper correspondingly proposes some policies to improve energy efficiency in China.

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