Title
Some Simple Method of Estimation for the Parameters of the Discrete Stable Distribution with the Probability Generating Function
Abstract
In this article, we develop a method to estimate the two parameters of the discrete stable distribution. By minimizing the quadratic distance between transforms of the empirical and theoretical probability generating functions, we obtain estimators simple to calculate, asymptotically unbiased, and normally distributed. We also derive the expression for their variance-covariance matrix. We simulate several samples of discrete stable distributed datasets with different parameters, to analyze the effect of tuncation on the right tail of the distribution.
Year
DOI
Venue
2009
10.1080/03610910903202089
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Asymptotic bias,Linear regression,Normality,Probability generating function,Quadratic distance,Truncation
Journal
38
Issue
ISSN
Citations 
9
0361-0918
1
PageRank 
References 
Authors
0.38
0
3
Name
Order
Citations
PageRank
Louis G. Doray121.01
Shu Mei Jiang210.38
Andrew Luong310.38