“…A common feature for this type of validation methods is that a critical value, which comes either empirically or is based on the distributions of their statistics (Verhagen, 2004;Li and Wang, 2012), is necessary to determine whether to accept the most likely integer candidate or not. With the introduction of the Integer Aperture (IA) estimator (Teunissen, 2003a), some of these methods can be mathematically expressed as IA estimators (Verhagen, 2005;Verhagen and Teunissen, 2006), and several other IA estimators also have been introduced, such as the Ellipsoidal IA (EIA) estimator, (Teunissen, 2003b), Penalized IA (PIA) estimator (Teunissen, 2004), and a unified theoretical framework has been established. The ambiguity validation is then carried out by a user-defined fail-rate, which performs the same function as the critical value in the traditionally used statistics tests but allows for an explicit and overall probabilistic evaluation of the outcome, to validate the integer ambiguities.…”