parametriarvio
Parametriarvio is the process of estimating the parameters of a mathematical model from observed data. In Finnish literature, parametriarvio refers to procedures used to infer values that determine the behavior of a model, such as coefficients in a statistical regression, rates in a kinetic model, or transition probabilities in a stochastic process. The goal is to identify parameter values that make the model best agree with data, under a chosen criterion and model structure.
Common approaches include maximum likelihood estimation, which chooses parameters to maximize the probability of the observed
Applications span statistics, econometrics, engineering, biomedicine, and machine learning. Parametriarvio is central to curve fitting, time-series
Challenges include identifiability where data do not uniquely determine parameters, measurement error, missing data, nonlinearity, and
See also: parameter estimation, maximum likelihood estimation, Bayesian inference, regression analysis, model selection.