
doi: 10.2307/2347910
Summary: Iterative methods for finding accurate estimates of percentage points are usually based on numerical root finding techniques applied to the distribution function. In this paper we take a different approach by creating an auxiliary function, whose fixed point is shown to be the desired percentage point, and then applying Steffenson's acceleration technique to find the fixed point. For the auxiliary function used, the conditions for convergence of Steffensen's method are mild and are satisfied by many percentage point problems arising in practice. The method is tested by calculating four-place \(\chi^ 2\) percentage points and two-place \(F\) percentage points agree with those in published tables.
percentage points, fixed point methods, Statistical distribution theory, Probabilistic methods, stochastic differential equations, closed form approximations
percentage points, fixed point methods, Statistical distribution theory, Probabilistic methods, stochastic differential equations, closed form approximations
| citations 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). | 6 | |
| 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 |
