The analysis of the main components used in assessing the correlations between the factors that influence the agro-alimentary product prices within a company
Between the prices categories from the national economy which can group in relations, correlations and interrelations. Principal Component Analysis makes new artificialvariablesand plotting,allowing visualizationsof the relations between the variables, as well as the existence of some groups ofvariables.Thecorrelationbetweenthevariables is synthesized in an imaginary circle with two or many axis. If the variables are near the positive direction of the factorial axis, then they are correlated. If the variables are near the negative direction of the factorial axis, then they are inversely correlated. Through the what Principal Component Analysis, we wished to observe to degree the production surface, the medium production, the total production, the total incomes, the incomes costs, the products price and the products cost influence the sale price of the agrofood at the SC X International SA. The method constructs new artificial variables and graphics, allowing visualization of relationships between variables and the existence of groups of individuals and groups of variables. Correlations between variables are summarized in an imaginary circle with two or more axes. If the variables are close to the factorial axis positive direction, they are related. If the variables are close to the factorial axis negative direction, they are inversely correlated.
Principal Components Analysis correlation factorial axis
Carmen Mariana Codreanu Carmen Luiza Costuleanu Oliver Constantin Pricop
Faculty of Economics Petre Andrei University of Iasi Iasi, Romania
国际会议
上海
英文
344-346
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）