Többváltozójú

Többváltozójú is a Hungarian term that translates to "multivariate" in English. It is commonly used in mathematics and statistics to describe situations or functions that involve more than one variable. For instance, a function like f(x, y) = x^2 + y^2 is a bivariate function because it depends on two independent variables, x and y. A system of equations can also be multivariate if it contains multiple equations, each potentially involving several variables.

In statistical analysis, multivariate methods are employed when examining the relationships between multiple variables simultaneously. This contrasts with univariate analysis, which focuses on a single variable, or bivariate analysis, which examines the relationship between two variables. Examples of multivariate statistical techniques include multiple regression, principal component analysis, and discriminant analysis. These methods are valuable for understanding complex data sets where numerous factors interact and influence outcomes. The study of multivariate calculus, for example, extends the concepts of single-variable calculus to functions of several variables, dealing with partial derivatives, gradients, and multiple integrals. Understanding the concept of "többváltozójú" is crucial for comprehending advanced mathematical and statistical models.