Хранение и обработка экспериментальных данных. Математическое моделирование : сборник научных трудов / Рос. акад. наук, Кол. науч. центр, Поляр. геофиз. ин-т. – Апатиты : [б. и.], 1992.

section of the Gulf S t ream system is employed. The m u lti- step procedure is realized for PC AT/386 as a software package using the С language (Turbo С, т 2.0). This soft ware package is intended for specialists dealing wit h automatization of oceanographic research. Pig. - 1, Ref. - 1 . Problems of analysis of subject area contents for building a knowledgebase structure. Reutova K.V. - In: Storing and processing of experimental data. Mathema tical modelling. Apatity, 1992, p.90-94. A n approach to the subject area contents analysis the technology, concerning the development of the latter, is iresented. It allows to resolve the problem of interaction between'the users, consultants, and designers of an intel lectual information system during the process of it3 pro ject development. Ref. - 1. Mutual linear regression. Rold ug i n V.K. - In: Storing and processing of experimental'data. Mathematical modelling. Apatity, 1992, p . 94-99. Ordinary linear regressions of the Y on X and I on ~i data points, if plotted in the same coordinates, differ, fro m eac h other so the uncertainty arises in the jhoise between the equations w h e n the I and Y data have equal sig nificance. It is proposed for these oases that the linear relation be t ween two ra n d om variables shouldy minimize sum of square distances b e t ween the data points and the sear ched line. Formulas for the calculations are presented. It is proposed to name this linear relation as mutual linear regression. A number of experiments o n r estoration of the linear relftion distorted guassian noise reveal high efficiency of mutual regression. App l i ca t i on of mutual regression, for example, for geochemical recounts, reduces the error by 10Й in comparison w i t h the ordinary regressi on results. Н.1. - 1, Tab. - 1, Ref. - 3. 25