jäännösvirheeksi
Jäännösvirheeksi refers to the residual error or remainder after a mathematical operation or model fitting process. In numerical analysis, it is the difference between the true value and the approximated value. For example, when approximating a function using a Taylor series, the jäännösvirheeksi represents the error introduced by truncating the series.
In statistical modeling, jäännösvirheeksi signifies the part of the dependent variable's variance that is not explained
In the context of algorithms or computational processes, jäännösvirheeksi can also describe the accumulated errors that