Töbparaméteres

Töbparaméteres is a Hungarian adjective that literally translates to “multivariate” or “multidimensional” in English. It is most commonly used in scientific and technical contexts to describe phenomena, data sets, models, or analyses that involve more than one parameter or variable. The term is derived from the Hungarian words „többen” (more) and „paraméter” (parameter), combined with the adjectival suffix ‑es.

In statistical science, a töbparaméteres model refers to any model that includes several explanatory variables simultaneously, such as multiple linear regression, multivariate analysis of variance (MANOVA), or factor analysis. These models capture complex relationships that cannot be represented by a single variable. For instance, in a töbparaméteres regression, the response variable is predicted as a function of several independent variables, allowing researchers to control for confounding factors and assess interaction effects.

In engineering and physics, töbparaméteres terminology is used for systems with multiple input variables influencing a set of outputs, such as multi-input multi-output (MIMO) control systems. The concept also appears in computer science when describing multivariate functions, data structures, or algorithms that handle more than one dimension or parameter.

Overall, töbparaméteres denotes a broader, more comprehensive approach than univariate or single-parameter analysis, enabling more realistic modeling of complex real‑world situations.