Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Scandinavian Journal of Statistics, Vol. 28, No. 4 (Dec., 2001), pp. 725-732 (8 pages) We consider the comparison of point processes in a discrete observation situation in which each subject is ...

In the common non-parametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the ...