Marshall–Olkin distribution: parameter estimation and application to cancer data

2016 ◽  
Vol 44 (12) ◽  
pp. 2238-2250 ◽  
Author(s):  
Yeşim Güney ◽  
Yetkin Tuaç ◽  
Olcay Arslan
2013 ◽  
Vol 380-384 ◽  
pp. 1129-1132
Author(s):  
Miao Chao Chen ◽  
Ting Zhou

Hypothesis testing is one of the most important aspects in statistic inference. In this paper, we consider the SMS package problem of hypothesis testing. Firstly, we establish a mathematical model for SMS package problem. Secondly, we use the knowledge of Poisson distribution, parameter estimation and hypothesis testing to analyze this model, and the research results have proved the validity of the method.


2005 ◽  
Vol 53 (2) ◽  
pp. 397-402 ◽  
Author(s):  
Pei-Jung Chung ◽  
W.J.J. Roberts ◽  
J.F. Bohme

2014 ◽  
Vol 7 (6) ◽  
pp. 751-767 ◽  
Author(s):  
Sadie Beckett ◽  
Joshua Jee ◽  
Thapelo Ncube ◽  
Sophia Pompilus ◽  
Quintel Washington ◽  
...  

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