Abstract
A random sample size version of the central limit theorem is obtained for a general class of symmetric statistics based on uniform spacings. An important application to goodness of fit test for a Poisson process is discussed.
Original language | English |
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Pages (from-to) | 451-456 |
Number of pages | 6 |
Journal | Statistics and Probability Letters |
Volume | 8 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1989 |
Externally published | Yes |
Keywords
- Doeblin-Anscombe theorem
- goodness of fit tests
- spacings