Tekijöittäin

Tekijöittäin is a Finnish term that translates to "by factors" or "per factor." It is most commonly used in mathematics and statistics to denote a method of analysis or decomposition where a dataset or a problem is examined by considering its individual contributing components or variables.

In statistical analysis, "tekijöittäin" often refers to a process of breaking down variation or effects into those attributable to different independent variables or factors. For instance, in the analysis of variance (ANOVA), one might analyze the total variation in a dependent variable "tekijöittäin" by the variation explained by different treatment groups and the remaining random error. This allows researchers to understand the relative importance of each factor in influencing the outcome.

The concept can also be applied in other fields where complex systems are studied. For example, in economics, one might examine the growth of GDP "tekijöittäin," attributing it to factors such as labor force growth, capital accumulation, and technological advancements. Similarly, in engineering, a product's performance might be assessed "tekijöittäin," considering the impact of material properties, design parameters, and manufacturing tolerances. The core idea is to isolate and evaluate the influence of each distinct element to gain a deeper understanding of the overall behavior or result.