Abstract
The problem of interval estimation for the class of modified power series distribution (MPSD) is considered in this paper. Both the cases of small and large samples are investigated in setting 100 (1 - a) % confidence bounds for the parameter. By using the critical region for the uniformly most powerful test, we obtain a uniformly most accurate one-sided confidence bound. The general results are then applied to the generalized POISSON, generalized negative binomial and generalized logarithmic series distributions and particular results are derived for them.
Original language | English |
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Pages (from-to) | 141-143 |
Number of pages | 3 |
Journal | Statistics |
Volume | 20 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 1989 |
Keywords
- Modified power series distribution
- confidence intervals
- generalized POISSON distribution
- generalized logarithmic series distribution
- generalized negative binomial distribution
- uniformly most accurate confidence bound
- uniformly most powerful test