scholarly journals Probabilities of Misclassification Linked with Inverse Hyperbolic Sine Normal (IHSN) Distribution

2021 ◽  
Vol 1 (1) ◽  
pp. 42-51
Author(s):  
Awogbemi C.A. ◽  
Olowu A.R.

Probability of misclassification occurs when there is a choice of criteria that is not favourable for classification. The probabilities of misclassification associated with a family of Johnson’s system, the Inverse Hyperbolic Sine Normal distribution, was developed in this study. The distribution theory and rules, along with the formulation of the system, were generated. It was asserted that the estimation of the parameters of the system could be demystified if one or more variables under consideration are distributed normally.

Author(s):  
Christopher Chatfield ◽  
Alexander J. Collins

2019 ◽  
Vol 82 (1) ◽  
pp. 50-61 ◽  
Author(s):  
Marc F. Bellemare ◽  
Casey J. Wichman

2012 ◽  
Vol 253-255 ◽  
pp. 1231-1234
Author(s):  
Le Huang ◽  
Yong Bo Lv ◽  
Yuan Ren

This paper based on the surveys of Beijing West Railway Station, Guangzhou Railway station, Xi'an Railway Station, Zhengzhou Railway Station, Jinan Railway station and Shangqiu Railway station. Looking over the tickets of passengers and recording the time when they enter into the stations, a waiting time model is established on the basis of logarithmic normal distribution theory. The number of passengers assembling in a station is found after the logarithmic normal distribution model is used to deal with the rule of passenger arriving and the uniform moving law is applied in passenger departing.


2016 ◽  
Vol 10 (2) ◽  
pp. 311-335 ◽  
Author(s):  
Altemir da Silva Braga ◽  
Gauss M. Cordeiro ◽  
Edwin M. M. Ortega ◽  
José Nilton da Cruz

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