Tests for randomness of observations that involve two factors

Tests for randomness of observations that involve one factor have been considered by many authors among them are Mosteller 4], Bateman 21], Barton and David 1] and Shaughnessy 7]. However, on many occasions, data involve two different factors such as time and location, temperature and pressure, or levels of doses and responses of patients and so on. In this paper, we consider tests for randomness of observations that involve two factors for which data are given in a matrix form. Some new definitions of runs of a matrix of data are defined and discussed. A special kind of run is proposed for the test for randomness. Distributions and properties of this run are studied. Some critical regions are tabulated.