Alignments in two-dimensional random sets of points
- 1 June 1980
- journal article
- research article
- Published by Cambridge University Press (CUP) in Advances in Applied Probability
- Vol. 12 (02), 380-424
- https://doi.org/10.1017/s0001867800050230
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.Keywords
This publication has 5 references indexed in Scilit:
- Short distances, flat triangles and Poisson limitsJournal of Applied Probability, 1978
- The diffusion of shapeAdvances in Applied Probability, 1977
- Finding the edge of a Poisson forestJournal of Applied Probability, 1977
- Limit theorems for dissociated random variablesAdvances in Applied Probability, 1976
- A test for a change in a parameter occurring at an unknown pointBiometrika, 1955