“…Equal weights, where a is set equal to a vector of ones, is perhaps the most well-known (Dawes, 1979;Dawes & Corrigan, 1974;Einhorn & Hogarth, 1975;Schmidt, 1971;Wainer, 1976), although see Keren and Newman (1978) for a set of unfavorable conditions for equal weighting. Single-variable weighting schemes, where only one entry of a is nonzero, such as those based on decision models such as Take The Best (Gigerenzer, Todd, & the ABC Research Group, 1999) and the Recognition Heuristic (Goldstein & Gigerenzer, 2002) have also been shown to have superior predictive power over OLS estimation under various conditions (Czerlinski, Gigerenzer, & Goldstein, 1999;Davis-Stober, Dana, & Budescu, 2010a;Gigerenzer & Goldstein, 1996;Katsikopoulos, Schooler, & Hertwig, 2010). Bobko, Roth, and Buster (2007) and Goldstein and Gigerenzer (2009) provide recent reviews and comparisons of fixed weighting models as they compare to various prediction techniques, including OLS.…”