Summary of Contributed Papers to Volume 3

Summary

In this paper the informational approach to statistics based on an informational interpretation of log likelihood of a statistical model is contrasted with the conventional Fisherian framework. It is pointed out that for the recognition of practical importance of statistical science more emphasis should be placed on the development of new models than the refinement of mathematical analysis of existing procedures, although the latter activity should never be ignored. This is based on the observation that it is the contribution of statistics to the development of new hypotheses for the interpretation of data that creates the importance of the subject. It is argued that the informational approach prepares a basis for the rapid expansion of the area of application of statistics by providing a theoretical foundation for the development and evaluation of new statistical models in diverse fields.