matematikostatistike
Matematikostatistike (mathematical statistics) is the branch of statistics that uses mathematical methods to study the principles and properties of statistical inference. It provides the theoretical framework for modeling randomness, designing procedures, and evaluating their performance under probabilistic assumptions.
The central problems are estimating population parameters, testing hypotheses, and making decisions under uncertainty. Mathematical statistics
Common tools include point and interval estimation, maximum likelihood and Bayesian inference, and concepts of sufficiency,
Subfields cover parametric, nonparametric, and semi-parametric models, as well as decision theory, information theory, and computational
Applications span the natural and social sciences, engineering, and finance, where rigorous inference from data is