𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Goodness of fit for the Poisson distribution

✍ Scribed by D.J. Best; J.C.W. Rayner

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
85 KB
Volume
44
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

✦ Synopsis

Two problems with the usual X 2 test of ΓΏt for the Poisson distribution are how to pool the data and how much power is lost by this pooling. Smooth tests of ΓΏt as outlined in Rayner and Best (1989) avoid the pooling problems and provide weakly optimal and therefore powerful tests. Power comparisons between X 2 , smooth tests and a modiΓΏed Kolmogorov-Smirnov statistic are given.

πŸ“œ SIMILAR VOLUMES

Goodness of Fit for the Geometric Distri
Goodness of Fit for the Geometric Distribution
✍ D. J. Best; J. C. W. Rayner πŸ“‚ Article πŸ“… 1989 πŸ› John Wiley and Sons 🌐 English βš– 230 KB πŸ‘ 2 views

h l a n d Summuy A Neyman-type smooth teat ofgoodness of fit k derived for the geometric distribution. Some smellsample critical points are given, with two examples.

Monte Carlo exact goodness-of-fit tests
Monte Carlo exact goodness-of-fit tests for nonhomogeneous Poisson processes
✍ Bo H. Lindqvist; Bjarte Rannestad πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 293 KB πŸ‘ 2 views

Nonhomogeneous Poisson processes (NHPPs) are often used to model failure data from repairable systems, and there is thus a need to check model fit for such models. We study the problem of obtaining exact goodness-of-fit tests for parametric NHPPs. The idea is to use conditional tests given a suffici