Alignments in two-dimensional random sets of points

David G. Kendall, Wilfrid S. Kendall

Advances in Applied Probability · 1980 · 120 citations · 9 references

Concepts

Abstract

Let n points in the plane be generated by some specified random mechanism and suppose that N (∊) of the resulting triads form triangles with largest angle ≧ π – ∊. The main object of the paper is to obtain asymptotic formulae for and Var ( N (∊)) when ∊ ↓ 0, and to solve the associated data-analytic problem of testing whether an empirical set of n points should be considered to contain too many such ∊-blunt triads in the situation where the generating mechanism is unknown and where all that can be said about the tolerance ∊ is that it must be allowed to take values anywhere in a given interval ( T 0 , T 1 ) (0 < T 0 < T 1 ). This problem is solved by the introduction of a plot to be called the pontogram and by the introduction of simulation-based significance tests constructed by random lateral perturbations of the data.

References

9