scholarly journals Zero-inflated Poisson (ZIP) distribution: parameter estimation and applications to model data from natural calamities

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

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