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.
... average household size is 2.96 and the average family size is 3.31.
In the town the population is spread out with 29.3% under the age of 18, 9.6% from 18 to 24, 30.3% ...