| complete class of decision functions [kǝm¦plēt ¦klas ǝv di`sizh·ǝn ´fǝŋk·shǝnz] STATISTICS A concept in decision theory which states that for a class of decision functions to be complete it must include a uniformly better decision function, which is a decision function that is sometimes better but never worse (according to some criterion) than each decision function not in the class. |