[A new procedure for estimating the distribution of measured values--demonstrated by morphometric examples]

The local approximation of the empirical distribution function of a one-dimensional continuous random variable leads to a continuous estimation of the distribution function. The first derivative of it gives the estimation of the density function. At a sample of growth data the advantages will be demonstrated of the continuous estimation compared with the classical approaches by histogram or frequency polygon respectively. Further advantageous aspects of the new approach will be illustrated by an example of a stomatologic-morphometrical examination and at one of caryometric research. Especially for comparison of 2 samples conclusions may be drawn by inspection and discussion of the obtained graphs of the empirical distribution functions and of the estimated density functions of the samples to be compared.