random weighting method
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scholarly journals A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 8039-8047
Author(s):  
Shanshan Lin ◽  
Xianbin Wen ◽  
Haixia Xu ◽  
Liming Yuan ◽  
Qingxia Meng
Keyword(s):  
Level Set ◽  
Segmentation Algorithm ◽  
Sar Images ◽  
Weighting Method ◽  
Random Weighting Method ◽  
Random Weighting

Random weighting method for estimating sampling distributions

2015 ◽  
Author(s):  
B.B. Gao ◽  
S.S. Gao ◽  
Y. Yang ◽  
H.F. Yan
Keyword(s):  
Weighting Method ◽  
Random Weighting Method ◽  
Sampling Distributions ◽  
Random Weighting

Random Weighting Estimation of One-Sided Confidence Intervals in Discrete Distributions

2013 ◽  
pp. 92-102
Author(s):  
Yalin Jiao ◽  
Yongmin Zhong ◽  
Shesheng Gao ◽  
Bijan Shirinzadeh
Keyword(s):  
Confidence Intervals ◽  
Coverage Probability ◽  
Bootstrap Method ◽  
Experimental Results ◽  
Discrete Distributions ◽  
Estimation Accuracy ◽  
Weighting Method ◽  
Random Weighting Method ◽  
Random Weighting ◽  
The Bootstrap Method

This paper presents a new random weighting method for estimation of one-sided confidence intervals in discrete distributions. It establishes random weighting estimations for the Wald and Score intervals. Based on this, a theorem of coverage probability is rigorously proved by using the Edgeworth expansion for random weighting estimation of the Wald interval. Experimental results demonstrate that the proposed random weighting method can effectively estimate one-sided confidence intervals, and the estimation accuracy is much higher than that of the bootstrap method.

Marginal models with random weighting method

2012 ◽  
Author(s):  
Chaoxu Zhou
Keyword(s):  
Marginal Models ◽  
Weighting Method ◽  
Random Weighting Method ◽  
Random Weighting

Random Weighting Method for Multisensor Data Fusion

2011 ◽  
Vol 11 (9) ◽  
pp. 1955-1961 ◽  
Author(s):  
Shesheng Gao ◽  
Yongmin Zhong ◽  
Wei Li
Keyword(s):  
Data Fusion ◽  
Weighting Method ◽  
Multisensor Data Fusion ◽  
Random Weighting Method ◽  
Random Weighting ◽  
Multisensor Data

Random Weighting Estimation of One-sided Confidence Intervals in Discrete Distributions

2011 ◽  
Vol 1 (2) ◽  
pp. 18-26 ◽  
Author(s):  
Yalin Jiao ◽  
Yongmin Zhong ◽  
Shesheng Gao ◽  
Bijan Shirinzadeh
Keyword(s):  
Confidence Intervals ◽  
Coverage Probability ◽  
Edgeworth Expansion ◽  
Bootstrap Method ◽  
Discrete Distributions ◽  
Estimation Accuracy ◽  
Weighting Method ◽  
Random Weighting Method ◽  
Random Weighting ◽  
The Bootstrap Method

This paper presents a new random weighting method for estimation of one-sided confidence intervals in discrete distributions. It establishes random weighting estimations for the Wald and Score intervals. Based on this, a theorem of coverage probability is rigorously proved by using the Edgeworth expansion for random weighting estimation of the Wald interval. Experimental results demonstrate that the proposed random weighting method can effectively estimate one-sided confidence intervals, and the estimation accuracy is much higher than that of the bootstrap method.

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