Abstract: We propose a method for finding optimal designs when there are potentially failing trials in the experiment. Examples are presented for polynomial models using different types of response probability functions, including situations when these response probability functions are only partially specified. Some properties of the proposed optimal designs are discussed.
Key words and phrases: Approximate designs, D-optimality, information matrix, maximin designs, missing observations.