regression model

Прогнозування параметрів мікроклімату в приміщенні за допомогою контролера нечіткої логіки

Розглянуто основні зовнішні фактори, що впливають на тепловий мікроклімат у приміщенні. Описано процес побудови нечіткої моделі для прогнозування параметрів мікроклімату. Показано результати використання контролера нечіткої логіки для вирішення задачі прогнозування. Побудовано математичну модель для поставленої задачі на основі регресійного аналізу.

The pressure oscillation in the inter-wall chamber of the teat cup

Factors influencing the vacuum gauge pressure in the inter-wall chamber of milking teat cups of a milking machine with a pneumo- and electromagnetic pulse generator with a combined collector are analyzed. The main factors of research and the limits of their variation are formed, the matrix of multifactor planned experiment is developed, and also results of experimental researches are received.

ECONOMIC AND MATHEMATICAL MODELING OF THE EFFICIENCY ESTIMATION OF CURRENT USE ASSETS THROUGH CORRELATION AND REGRESSION APPROACH

At the current stage of economic reform, the introduction of market-based management methods, there is a growing need for prompt decision-making in the calculation and forecasting of options for possible directions of production activity of individual enterprises. And this is practically impossible to do without the use in analytical study of economic and mathematical methods. The most common in the process of simple economic analysis of the activity of economic systems is the use of correlation-regression analysis.

Clustering implementation of the methodology for the construction of economic and mathematical regression model of valuation real estate

Purpose. The purpose of the research is to construct economic and mathematical models by regression analysis, which will determine not only the best model for valuation of this particular sample, but also to establish principles of modelling the value real estate prices on the basis of known peers. Realization of the algorithm of regression analysis must begin with the construction of the matrix of paired sample correlation coefficients. The calculation and analysis of the correlation coefficients will allow to communicate the value of each of the factors. Methodology.