On the order discrimination of linear systems with noisy observations

The problem considered is the order discrimination of a linear system with noisy observations. The order discrimination problem is viewed as a sequence of hypothesis tests; at the nth step, a choice is made between models of order n and (n+1). The sequence is terminated the first time that the lower order hypothesis is preferable. A series of detailed digital computer studies were performed to determine the effectiveness of the proposed order discrimination scheme.