In recent years several authors have recommended smooth tests for testing goodness of fit.
However, the number of components in the smooth test statistic should be chosen well; …

Unemployment rates vary widely at the sub-regional level. We seek to explain why such
variation occurs, using data for 174 districts in the Midi-Pyrénées region of France for 1990 …

In recent years, temperate bamboo species have been introduced in Europe not only as an
ornamental plant, but also as a new biomass crop. To measure adaptation stress of bamboo …

Rao's score statistic is a standard tool for constructing statistical tests. If departures from the
null model are described by some k-dimensional exponential family the resulting score test …

In this paper, we extend information criteria for model selection to the case of K independent
data sets corresponding to different true parameters θ1,..., θK and to situations where some …

Cluster analysis provides methods for subdividing a set of objects into a suitable number of
'classes','groups', or 'types' C 1,…, C m such that each class is as homogeneous as possible …

Data driven test procedure for detection of change is introduced and its properties are
studied. The new solution is max-type statistic related to data-driven rank tests for two …

Data driven Neyman's tests are based on two elements: Neyman's smooth tests in finite
dimensional submodels and a selection rule to choose the" right''submodel. As selection …

In this paper we propose a data driven smooth test of symmetry. We first transform the raw
data via the probability integral transformation according to a symmetrized empirical …

Consistency of a class of information criteria for model selection in non-linear regression Page 1
COMMUN. IN STATIST.-THEORY METH., 20(5&6) 1619-1629 (1991) CONSISTENCY OF A …