The word “ discussion ” here means a general name of the oral exchanges of information among multi-persons.The transition of speakers in discussion is taken up as the objective data. The theoretical model of discussion process is defined as Markov Renewal Process Semi-Markov Process.And some numerical values are defined and applied to real data, that valuate the discussion from various angles that are the difference of dependency depth of Markov property of transition process in discussion process.
In this paper we propose a method of estimating the normal(or reference)ranges of blood constituents, assuming that each distribution of their measurements is a mixture of normal and abnormal components. Values of the parameters of the mixture distribution are determined so as to minimize ?O2 called as the Cramer-von Mises criterion. Because this method of estimation is less disturbed by outliers than the maximum likelihood method, it is suitable for medical data analysis and is applicable both to data of apparently healthy subjects and to those of patients. The estimation results based on the hospital data are illustrated on seventeen items of blood constituents by their histogram and estimated curves.