On Nonregular Estimation. II. Estimation of the Location Parameter of the Gamma and Weibull Distributions

1974 ◽  
Vol 3 (12) ◽  
pp. 1109-1129
Author(s):  
W. R. Blischke
Keyword(s):  
Location Parameter ◽  
Weibull Distributions

Decoupled Location Parameter Estimation of Near-Field Sources with Symmetric ULA

2011 ◽  
Vol E94-B (9) ◽  
pp. 2646-2649
Author(s):  
Bum-Soo KWON ◽  
Tae-Jin JUNG ◽  
Kyun-Kyung LEE
Keyword(s):  
Parameter Estimation ◽  
Near Field ◽  
Location Parameter

Comparative Analysis of Wind Speed Models Using Different Weibull Distributions

2019 ◽  
Vol 19 (1) ◽  
pp. 22-28
Author(s):  
Emrah Dokur ◽  
◽  
Salim Ceyhan ◽  
Mehmet Kurban ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Wind Speed ◽  
Weibull Distributions

Evaluation of Pr {x⩾y} When Both X and Y are from Three-Parameter Weibull Distributions

1973 ◽  
Vol R-22 (2) ◽  
pp. 78-82 ◽  
Author(s):  
Gerald G. Brown ◽  
Herbert C. Rutemiller
Keyword(s):  
Weibull Distributions

Study on Sequential Compliance Method Influenced by Shape Parameter of Weibull Distribution

2011 ◽  
Vol 189-193 ◽  
pp. 4361-4364 ◽  
Author(s):  
Hong Liang Lou ◽  
Xing Lin Li ◽  
Xian Zhao Xu ◽  
Yang Ping Zhang ◽  
Zhong Hua Yu
Keyword(s):  
Weibull Distribution ◽  
Shape Parameter ◽  
Weibull Distributions ◽  
Simulation Test ◽  
Consumer’S Risk ◽  
Producer’S Risk ◽  
Rejection Probability

When sequential compliance method is used for Weibull distributions, the shape parameter is usually considered to be fixed. However, because of the life of products are determined by many factors, the shape parameter is variational in practice, that is to say, the shape parameter in the criterions is different from that in the practice. In this paper, the changes of acceptance and rejection probability are researched by the influence of shape parameter changes. Finally, by means of simulation test, changes on the shape parameter affecting on the probability of acceptance and rejection are quantitatively analyzed. As a result, the larger the gap on the shape parameter in the criterions and in the practice is, the larger the gap on the producer’s risk and the consumer’s risk.

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