
Abstract : A sequential procedure is proposed to estimate the mean of a negative binomial distribution when the value of the exponent (k) is known. An approximation is obtained for the distribution of the estimate from which it may be shown that the precision amounts to having a predetermined coefficient of variation. The effect of imperfect information on k is investigated. Comparisons are made with other procedures including the variance-stabilizing logarithmic transformation. (Author)
Sequential estimation
Sequential estimation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
