Abstract
By extending the notion of ancillarity to asymptotic ancillarity a conditional inference approach to statistical inference for a class of regular nonergodic processes is developed. This approach is closely related to that of Efron & Hinkley (1978) for the independent identically distributed case. The Yule process is used to illustrate the main ideas.
Original language | English |
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Pages (from-to) | 279-283 |
Number of pages | 5 |
Journal | Biometrika |
Volume | 66 |
Issue number | 2 |
DOIs | |
State | Published - Aug 1979 |
Externally published | Yes |
Keywords
- Asymptotic ancillarity
- Branching process
- Pivotal quantity
- Regular nonergodic process
- Yule process
ASJC Scopus subject areas
- Statistics and Probability
- General Mathematics
- Agricultural and Biological Sciences (miscellaneous)
- General Agricultural and Biological Sciences
- Statistics, Probability and Uncertainty
- Applied Mathematics