The Kalman filter (named after its inventor, Rudolf E Kalman[?]) is an efficient recursive computational solution of the least-squares method[?], which is applicable to distinguishing signals from noise so as to predict changes in a modeled system with time.
... size is 3.08.
In the town the population is spread out with 22.3% under the age of 18, 6.3% from 18 to 24, 31.0% from 25 to 44, 26.9% from 45 to 64, and 13.5% who are 65 ...