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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhang, Fuxi Xia, Aihua |
| Copyright Year | 2009 |
| Abstract | The polynomial birth–death distribution (abbreviated, PBD) on ℐ={0,1,2,…} or ℐ={0,1,2,…,m} for some finite m introduced in Brown and Xia (Ann. Probab. 29:1373–1403, 2001) is the equilibrium distribution of the birth–death process with birth rates {α $_{ i }$} and death rates {β $_{ i }$}, where α $_{ i }$≥0 and β $_{ i }$≥0 are polynomial functions of i∈ℐ. The family includes Poisson, negative binomial, binomial, and hypergeometric distributions. In this paper, we give probabilistic proofs of various Stein’s factors for the PBD approximation with α $_{ i }$=a and β $_{ i }$=i+bi(i−1) in terms of the Wasserstein distance. The paper complements the work of Brown and Xia (Ann. Probab. 29:1373–1403, 2001) and generalizes the work of Barbour and Xia (Bernoulli 12:943–954, 2006) where Poisson approximation (b=0) in the Wasserstein distance is investigated. As an application, we establish an upper bound for the Wasserstein distance between the PBD and Poisson binomial distribution and show that the PBD approximation to the Poisson binomial distribution is much more precise than the approximation by the Poisson or shifted Poisson distributions. |
| Ending Page | 310 |
| Page Count | 17 |
| Starting Page | 294 |
| File Format | |
| ISSN | 08949840 |
| e-ISSN | 15729230 |
| Journal | Journal of Theoretical Probability |
| Issue Number | 2 |
| Volume Number | 22 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2009-01-16 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Stein’s method Stein’s factors Continuous-time Markov processes on discrete state spaces Probability Theory and Stochastic Processes Central limit and other weak theorems Statistics Total variation distance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty |
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