todennäköisyysmallien
Todennäköisyysmallit, or probability models, are mathematical frameworks used to describe and analyze random phenomena. These models are fundamental in various fields such as statistics, physics, engineering, and economics. They provide a structured way to quantify uncertainty and make predictions based on observed data.
A probability model typically consists of two main components: a sample space and a probability measure. The
There are several types of probability models, each suited to different types of data and applications. Discrete
Probability models are essential for statistical inference, hypothesis testing, and decision-making under uncertainty. They enable researchers